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"Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 53 }, "parametersB": null, "contextWindow": null, "releaseDate": "2025-11-24", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/opus-4.5/" }, { "id": "qwen3.7-plus", "name": "qwen3.7-plus", "provider": "Alibaba", "country": "China", "modelType": "general", "providerTier": -1, "generationOffset": 0, "rank": 68, "iq": 112, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 94, "mathematical-reasoning": 114, "academic-reasoning": 127, "programmatic-reasoning": 106, "computer-use": 113, "reliability": 117, "knowledge-work": 113 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.4, "outputPer1M": 1.6, "cacheReadPer1M": 0.08, "cacheWritePer1M": 0.5, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 2, "usageMultiplier": 0.706, "usageMultiplierSource": "measured", "effectivePer1M": 1.4126, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 47.18, "completionTimeSec": 56.180010409279916, "completionTimeProvenance": { "seconds": 56.180010409279916, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 56 }, "parametersB": null, "contextWindow": 1000000, "releaseDate": "2026-06-02", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/qwen3.7-plus/" }, { "id": "gemini-3-flash", "name": "gemini-3-flash", "provider": "Google", "country": "United States", "modelType": "general", "providerTier": -1, "generationOffset": -3, "rank": 69, "iq": 111, "iqCoverage": { "directDimensions": 6, "evidenceDimensions": 6, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 99, "mathematical-reasoning": 119, "academic-reasoning": 128, "programmatic-reasoning": 103, "computer-use": 113, "reliability": 117, "knowledge-work": 97 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.5, "outputPer1M": 3, "cacheReadPer1M": 0.05, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 3.5, "usageMultiplier": 0.744, "usageMultiplierSource": "measured", "effectivePer1M": 2.6053, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 8.81, "completionTimeSec": 11.361284068001085, "completionTimeProvenance": { "seconds": 11.361284068001085, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 196 }, "parametersB": null, "contextWindow": null, "releaseDate": "2025-12-17", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/gemini-3-flash/" }, { "id": "gpt-5", "name": "gpt-5", "provider": "OpenAI", "country": "United States", "modelType": "general", "providerTier": -1, "generationOffset": -6, "rank": 70, "iq": 111, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 91, "mathematical-reasoning": 117, "academic-reasoning": 122, "programmatic-reasoning": 117, "computer-use": 106, "reliability": 115, "knowledge-work": 112 }, "emotionalReasoning": null, "cost": { "inputPer1M": 1.25, "outputPer1M": 10, "cacheReadPer1M": 0.125, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 11.25, "usageMultiplier": 1.262, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 14.2014, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 70.32, "completionTimeSec": 75.21394815393425, "completionTimeProvenance": { "seconds": 75.21394815393425, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 102 }, "parametersB": null, "contextWindow": null, "releaseDate": "2025-08-07", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/gpt-5/" }, { "id": "inkling-small", "name": "Inkling-Small", "provider": "US (Other)", "country": "United States", "modelType": "openWeight", "providerTier": -1, "generationOffset": 0, "rank": 71, "iq": 111, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 91, "mathematical-reasoning": 116, "academic-reasoning": 126, "programmatic-reasoning": 107, "computer-use": 116, "reliability": 107, "knowledge-work": 113 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.3, "outputPer1M": 1.2, "cacheReadPer1M": 0.06, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 1.5, "usageMultiplier": 0.814, "usageMultiplierSource": "measured", "effectivePer1M": 1.2217, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 14.7, "completionTimeSec": 17.200553214574743, "completionTimeProvenance": { "seconds": 17.200553214574743, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 200 }, "parametersB": 276, "contextWindow": 1000000, "releaseDate": "2026-07-30", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/inkling-small/" }, { "id": "qwen3.6-27b", "name": "qwen3.6-27b", "provider": "Alibaba", "country": "China", "modelType": "openWeight", "providerTier": -3, "generationOffset": -1, "rank": 72, "iq": 111, "iqCoverage": { "directDimensions": 6, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 91, "mathematical-reasoning": 114, "academic-reasoning": 119, "programmatic-reasoning": 108, "computer-use": 118, "reliability": 112, "knowledge-work": 113 }, "emotionalReasoning": 86, "cost": { "inputPer1M": 0.6, "outputPer1M": 3.6, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 4.2, "usageMultiplier": 1.438, "usageMultiplierSource": "measured", "effectivePer1M": 6.0402, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 114.35, "completionTimeSec": 123.30721488509877, "completionTimeProvenance": { "seconds": 123.30721488509877, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 56 }, "parametersB": 27, "contextWindow": 262000, "releaseDate": "2026-04-22", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/qwen3.6-27b/" }, { "id": "fugu-v1.0", "name": "Fugu v1.0", "provider": "World (Other)", "country": "Japan", "modelType": "general", "providerTier": -1, "generationOffset": 0, "rank": 73, "iq": 110, "iqCoverage": { "directDimensions": 2, "evidenceDimensions": 2, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 99, "mathematical-reasoning": 104, "academic-reasoning": 130, "programmatic-reasoning": 121, "computer-use": 109, "reliability": 104, "knowledge-work": 102 }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": null, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": null, "releaseDate": "2026-06-22", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/fugu-v1.0/", "profileNotes": [ "Sakana AI develops this multi-model orchestration system in Japan. Results measure the coordinated model pool, not a standalone base model.", "The IQ estimate uses six Sakana-reported June 2026 results across three dimensions, with conservative estimates for missing coverage. These are provider evaluations, not independent Artificial Analysis or Vals measurements.", "AI IQ labels the original June 2026 Fugu evaluation as Fugu v1.0. Sakana calls the API endpoint fugu; its mutable model pool means later API behavior may differ.", "Token pricing varies with the selected underlying model or highest-tier active agent. A single fixed input/output price is not published." ] }, { "id": "kimi-k2.5", "name": "kimi-k2.5", "provider": "Kimi", "country": "China", "modelType": "general", "providerTier": 0, "generationOffset": -2, "rank": 74, "iq": 110, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 81, "mathematical-reasoning": 111, "academic-reasoning": 123, "programmatic-reasoning": 115, "computer-use": 117, "reliability": 112, "knowledge-work": 111 }, "emotionalReasoning": 115, "cost": { "inputPer1M": 0.6, "outputPer1M": 2.75, "cacheReadPer1M": 0.35, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 3.35, "usageMultiplier": 0.834, "usageMultiplierSource": "measured", "effectivePer1M": 2.7943, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 59.65, "completionTimeSec": 68.01708548945587, "completionTimeProvenance": { "seconds": 68.01708548945587, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 60 }, "parametersB": 1000, "contextWindow": null, "releaseDate": "2026-01-27", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/kimi-k2.5/" }, { "id": "nex-n2-pro", "name": "nex-n2-pro", "provider": "China (Other)", "country": "China", "modelType": "openWeight", "providerTier": 0, "generationOffset": 0, "rank": 75, "iq": 110, "iqCoverage": { "directDimensions": 4, "evidenceDimensions": 4, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 86, "mathematical-reasoning": 104, "academic-reasoning": 125, "programmatic-reasoning": 100, "computer-use": 125, "reliability": 112, "knowledge-work": 115 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.5, "outputPer1M": 2.5, "cacheReadPer1M": 0.25, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 3, "usageMultiplier": 0.958, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 2.8729, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 26.95, "completionTimeSec": 25.821010101010103, "completionTimeProvenance": { "seconds": 25.821010101010103, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 99 }, "parametersB": 397, "contextWindow": 262144, "releaseDate": "2026-06-08", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/nex-n2-pro/" }, { "id": "qwen3.5-397b", "name": "qwen3.5-397b", "provider": "Alibaba", "country": "China", "modelType": "general", "providerTier": 0, "generationOffset": -4, "rank": 76, "iq": 110, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 81, "mathematical-reasoning": 114, "academic-reasoning": 121, "programmatic-reasoning": 110, "computer-use": 116, "reliability": 117, "knowledge-work": 110 }, "emotionalReasoning": 108, "cost": { "inputPer1M": 0.6, "outputPer1M": 3.6, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 4.2, "usageMultiplier": 1.149, "usageMultiplierSource": "measured", "effectivePer1M": 4.8244, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 45.63, "completionTimeSec": 51.50752501075721, "completionTimeProvenance": { "seconds": 51.50752501075721, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 85 }, "parametersB": 397, "contextWindow": 262000, "releaseDate": "2026-02-16", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/qwen3.5-397b/" }, { "id": "qwen3.6-plus", "name": "qwen3.6-plus", "provider": "Alibaba", "country": "China", "modelType": "general", "providerTier": -1, "generationOffset": -1, "rank": 77, "iq": 110, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 86, "mathematical-reasoning": 115, "academic-reasoning": 122, "programmatic-reasoning": 103, "computer-use": 111, "reliability": 119, "knowledge-work": 113 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.5, "outputPer1M": 3, "cacheReadPer1M": 0.05, "cacheWritePer1M": 0.625, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 3.5, "usageMultiplier": 0.687, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 2.4049, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 110.44, "completionTimeSec": 119.39623321384357, "completionTimeProvenance": { "seconds": 119.39623321384357, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 56 }, "parametersB": null, "contextWindow": 1000000, "releaseDate": "2026-04-01", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/qwen3.6-plus/" }, { "id": "fugu-ultra-v2.0", "name": "Fugu Ultra v2.0", "provider": "World (Other)", "country": "Japan", "modelType": "general", "providerTier": 0, "generationOffset": 0, "rank": 78, "iq": 109, "iqCoverage": { "directDimensions": 1, "evidenceDimensions": 2, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 93, "mathematical-reasoning": 104, "academic-reasoning": 127, "programmatic-reasoning": 122, "computer-use": 108, "reliability": 104, "knowledge-work": 104 }, "emotionalReasoning": null, "cost": { "inputPer1M": 5, "outputPer1M": 30, "cacheReadPer1M": 0.5, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 35, "usageMultiplier": 1.258, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 44.046, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": 1000000, "releaseDate": "2026-09-11", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/fugu-ultra-v2.0/", "profileNotes": [ "Sakana AI develops this multi-model orchestration system in Japan. Results measure the coordinated model pool, not a standalone base model.", "These are provider-reported system evaluations, not independent Artificial Analysis or Vals measurements. Benchmark effort and harness details are not fully disclosed in the newer charts.", "The IQ estimate has 2 source-backed benchmarks across 2 dimensions. Missing coverage may use scoring-only estimates; predecessor values are not new measurements.", "Sakana reports HLE (text), but its tool configuration and equivalence to the tracked HLE protocol are unverified. ProgramBench metric and DeepSWE version are also unverified; those values are not mapped into existing IQ or domain fields.", "Standard pricing is $5 input and $30 output per million tokens; above 272K context it is $10/$45. Orchestration tokens are billable. No measured orchestration usage is available for effective-cost estimation.", "Missing benchmark estimates follow the explicit Ultra predecessor chain. The versioned endpoint is distinct from the mutable fugu-ultra alias.", "The 1M-token context window and text/image inputs are documented in Sakana’s client model catalog; context length is not inferred from pricing thresholds." ] }, { "id": "agnes-2.5-pro-beta", "name": "Agnes 2.5 Pro Beta", "provider": "World (Other)", "country": "Singapore", "modelType": "general", "providerTier": 0, "generationOffset": 0, "rank": 79, "iq": 108, "iqCoverage": { "directDimensions": 2, "evidenceDimensions": 2, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 97, "mathematical-reasoning": 104, "academic-reasoning": 127, "programmatic-reasoning": 98, "computer-use": 109, "reliability": 116, "knowledge-work": 104 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.1, "outputPer1M": 0.3, "cacheReadPer1M": 0.01, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 0.4, "usageMultiplier": 1.344, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 0.5374, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 18.19, "completionTimeSec": 21.326675872457947, "completionTimeProvenance": { "seconds": 21.326675872457947, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 159 }, "parametersB": null, "contextWindow": 1000000, "releaseDate": "2026-08-26", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/agnes-2.5-pro-beta/" }, { "id": "fugu-ultra-v1.1", "name": "Fugu Ultra v1.1", "provider": "World (Other)", "country": "Japan", "modelType": "general", "providerTier": 0, "generationOffset": -1, "rank": 80, "iq": 108, "iqCoverage": { "directDimensions": 1, "evidenceDimensions": 2, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 92, "mathematical-reasoning": 104, "academic-reasoning": 127, "programmatic-reasoning": 122, "computer-use": 109, "reliability": 103, "knowledge-work": 102 }, "emotionalReasoning": null, "cost": { "inputPer1M": 5, "outputPer1M": 30, "cacheReadPer1M": 0.5, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 35, "usageMultiplier": 1.258, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 44.046, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": 1000000, "releaseDate": "2026-07-24", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/fugu-ultra-v1.1/", "profileNotes": [ "Sakana AI develops this multi-model orchestration system in Japan. Results measure the coordinated model pool, not a standalone base model.", "These are provider-reported system evaluations, not independent Artificial Analysis or Vals measurements. Benchmark effort and harness details are not fully disclosed in the newer charts.", "The IQ estimate has 3 source-backed benchmarks across 3 dimensions. Missing coverage may use scoring-only estimates; predecessor values are not new measurements.", "Sakana reports HLE (text), but its tool configuration and equivalence to the tracked HLE protocol are unverified. ProgramBench metric and DeepSWE version are also unverified; those values are not mapped into existing IQ or domain fields.", "Standard pricing is $5 input and $30 output per million tokens; above 272K context it is $10/$45. Orchestration tokens are billable. No measured orchestration usage is available for effective-cost estimation.", "Missing benchmark estimates follow the explicit Ultra predecessor chain. The versioned endpoint is distinct from the mutable fugu-ultra alias.", "The 1M-token context window and text/image inputs are documented in Sakana’s client model catalog; context length is not inferred from pricing thresholds." ] }, { "id": "inkling", "name": "inkling", "provider": "US (Other)", "country": "United States", "modelType": "openWeight", "providerTier": 0, "generationOffset": 0, "rank": 81, "iq": 108, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 91, "mathematical-reasoning": 98, "academic-reasoning": 123, "programmatic-reasoning": 100, "computer-use": 112, "reliability": 115, "knowledge-work": 114 }, "emotionalReasoning": 116, "cost": { "inputPer1M": 1, "outputPer1M": 4.05, "cacheReadPer1M": 0.17, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 5.05, "usageMultiplier": 1.078, "usageMultiplierSource": "measured", "effectivePer1M": 5.4423, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 15.23, "completionTimeSec": 17.915586012173943, "completionTimeProvenance": { "seconds": 17.915586012173943, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 186 }, "parametersB": 975, "contextWindow": 1000000, "releaseDate": "2026-07-15", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/inkling/" }, { "id": "mimo-v2.5", "name": "mimo-v2.5", "provider": "Xiaomi", "country": "China", "modelType": "general", "providerTier": -1, "generationOffset": 0, "rank": 82, "iq": 108, "iqCoverage": { "directDimensions": 6, "evidenceDimensions": 6, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 85, "mathematical-reasoning": 121, "academic-reasoning": 122, "programmatic-reasoning": 100, "computer-use": 110, "reliability": 111, "knowledge-work": 110 }, "emotionalReasoning": 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null, "cacheStorageHourlyPer1M": null, "ioPer1M": 1.45, "usageMultiplier": 1.109, "usageMultiplierSource": "measured", "effectivePer1M": 1.6086, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 105.24, "completionTimeSec": 108.14548990038698, "completionTimeProvenance": { "seconds": 108.14548990038698, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 172 }, "parametersB": null, "contextWindow": 400000, "releaseDate": "2026-03-17", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/gpt-5.4-nano/" }, { "id": "muse-glimmer", "name": "Muse Glimmer", "provider": "Meta", "country": "United States", "modelType": "openWeight", "providerTier": -2, "generationOffset": 0, "rank": 86, "iq": 106, "iqCoverage": { "directDimensions": 5, "evidenceDimensions": 5, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 87, 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"nemotron-3-ultra", "name": "nemotron-3-ultra", "provider": "US (Other)", "country": "United States", "modelType": "openWeight", "providerTier": 0, "generationOffset": 0, "rank": 87, "iq": 106, "iqCoverage": { "directDimensions": 6, "evidenceDimensions": 6, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 89, "mathematical-reasoning": 101, "academic-reasoning": 121, "programmatic-reasoning": 100, "computer-use": 108, "reliability": 118, "knowledge-work": 108 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.6, "outputPer1M": 2.5, "cacheReadPer1M": 0.16, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 3.1, "usageMultiplier": 0.663, "usageMultiplierSource": "measured", "effectivePer1M": 2.0544, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 18.54, "completionTimeSec": 21.68218878377037, "completionTimeProvenance": { "seconds": 21.68218878377037, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 159 }, "parametersB": 550, "contextWindow": 262000, "releaseDate": "2026-06-04", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/nemotron-3-ultra/" }, { "id": "ember-1", "name": "Ember 1", "provider": "US (Other)", "country": "United States", "modelType": "general", "providerTier": 0, "generationOffset": 0, "rank": 88, "iq": 105, "iqCoverage": { "directDimensions": 2, "evidenceDimensions": 2, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 88, "mathematical-reasoning": 132, "academic-reasoning": 100, "programmatic-reasoning": 126, "computer-use": 102, "reliability": 96, "knowledge-work": 94 }, "emotionalReasoning": null, "cost": { "inputPer1M": 3, "outputPer1M": 15, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 18, "usageMultiplier": 0.94, 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"https://www.aiiq.org/models/glm-4.7/" }, { "id": "ling-3.0-flash", "name": "Ling 3.0 Flash", "provider": "China (Other)", "country": "China", "modelType": "openWeight", "providerTier": -2, "generationOffset": 0, "rank": 91, "iq": 105, "iqCoverage": { "directDimensions": 5, "evidenceDimensions": 5, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 85, "mathematical-reasoning": 94, "academic-reasoning": 118, "programmatic-reasoning": 100, "computer-use": 118, "reliability": 111, "knowledge-work": 109 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.075, "outputPer1M": 0.22, "cacheReadPer1M": 0.015, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 0.295, "usageMultiplier": 1.098, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 0.3238, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 9.98, "completionTimeSec": 11.421670116973086, "completionTimeProvenance": { "seconds": 11.421670116973086, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 346 }, "parametersB": 124, "contextWindow": 262144, "releaseDate": "2026-07-24", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/ling-3.0-flash/" }, { "id": "minimax-m2.7", "name": "minimax-m2.7", "provider": "MiniMax", "country": "China", "modelType": "general", "providerTier": 0, "generationOffset": -1, "rank": 92, "iq": 105, "iqCoverage": { "directDimensions": 6, "evidenceDimensions": 6, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 85, "mathematical-reasoning": 112, "academic-reasoning": 118, "programmatic-reasoning": 100, "computer-use": 102, "reliability": 109, "knowledge-work": 109 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.3, "outputPer1M": 1.2, "cacheReadPer1M": 0.06, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 1.5, "usageMultiplier": 1.873, "usageMultiplierSource": "measured", "effectivePer1M": 2.81, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 46.37, "completionTimeSec": 53.93822843841377, "completionTimeProvenance": { "seconds": 53.93822843841377, "kind": "measured", "label": "Artificial Analysis", "description": "Model measurements from Artificial Analysis.", "sourceUrl": null }, "medianTokensPerSecond": 66 }, "parametersB": 229, "contextWindow": 205000, "releaseDate": "2026-03-18", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/minimax-m2.7/" }, { "id": "fugu-ultra-v1.0", "name": "Fugu Ultra v1.0", "provider": "World (Other)", "country": "Japan", "modelType": "general", "providerTier": 0, "generationOffset": -2, "rank": 93, "iq": 104, "iqCoverage": { "directDimensions": 2, "evidenceDimensions": 2, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 91, "mathematical-reasoning": 96, "academic-reasoning": 130, "programmatic-reasoning": 122, "computer-use": 103, "reliability": 94, "knowledge-work": 94 }, "emotionalReasoning": null, "cost": { "inputPer1M": 5, "outputPer1M": 30, "cacheReadPer1M": 0.5, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 35, "usageMultiplier": 1.012, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 35.412, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": null, "releaseDate": "2026-06-22", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/fugu-ultra-v1.0/", "profileNotes": [ "Sakana AI develops this multi-model orchestration system in Japan. Results measure the coordinated model pool, not a standalone base model.", "The IQ estimate uses six Sakana-reported June 2026 results across three dimensions, with conservative estimates for missing coverage. These are provider evaluations, not independent Artificial Analysis or Vals measurements.", "These scores describe the separately available fugu-ultra-v1.0 (formerly fugu-ultra-20260615). The default fugu-ultra API now points to v2.0; no v1.1 or v2.0 scores are implied.", "Standard pricing is $5 input and $30 output per million tokens; above 272K context it is $10/$45. Internal orchestration tokens are billed too. Effective cost is estimated, without measured Fugu orchestration usage." ] }, { "id": "gemini-3.1-flash-lite", "name": "gemini-3.1-flash-lite", "provider": "Google", "country": "United States", "modelType": "general", "providerTier": -2, "generationOffset": -1, "rank": 94, "iq": 104, "iqCoverage": { "directDimensions": 7, "evidenceDimensions": 7, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 93, "mathematical-reasoning": 105, "academic-reasoning": 117, "programmatic-reasoning": 93, "computer-use": 108, "reliability": 112, "knowledge-work": 102 }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.25, "outputPer1M": 1.5, "cacheReadPer1M": 0.025, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 1.75, "usageMultiplier": 0.241, "usageMultiplierSource": "measured", "effectivePer1M": 0.4225, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": 6.42, "completionTimeSec": 7.8037557317483515, 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"profileNotes": [ "Reflection AI announced Beam on October 5, 2026: a text-only sparse mixture-of-experts model with 501B total parameters and 23B active per token.", "Early-access beta for selected users through a waitlist; the documented API model ID is Beam-501B-A23B. Reasoning is mandatory, with medium as the default effort.", "Reflection developer documentation specifies a 262,144-token combined input/output context window and 131,072-token maximum output. Limits may change during beta.", "Weights, technical report, model card, and developer artifacts are promised later in October under Apache 2.0; weights are not yet released. The current weights flag reflects present availability.", "The launch benchmark table is provider-reported. Configuration, split, and source-policy compatibility must be verified before using these scores in AI IQ; no launch-table scores are imported.", "No current standard hosted token pricing, paired task costs/token usage, or raw speed measurements are published in the checked official sources." ] }, { "id": "fugu-max-v1.0", "name": "Fugu Max v1.0", "provider": "World (Other)", "country": "Japan", "modelType": "general", "providerTier": -1, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 1, "evidenceDimensions": 1, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 114, "mathematical-reasoning": null, "academic-reasoning": 125, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": 2, "outputPer1M": 6, "cacheReadPer1M": 0.25, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 8, "usageMultiplier": 0.992, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 7.9343, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": 1000000, "releaseDate": "2026-09-11", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/fugu-max-v1.0/", "profileNotes": [ "Sakana AI develops this multi-model orchestration system in Japan. Results measure the coordinated model pool, not a standalone base model.", "These are provider-reported system evaluations, not independent Artificial Analysis or Vals measurements. Benchmark effort and harness details are not fully disclosed in the newer charts.", "The IQ estimate has 3 source-backed benchmarks across 3 dimensions. Missing coverage may use scoring-only estimates; predecessor values are not new measurements.", "Sakana reports HLE (text), but its tool configuration and equivalence to the tracked HLE protocol are unverified. ProgramBench metric and DeepSWE version are also unverified; those values are not mapped into existing IQ or domain fields.", "Pricing is $2 input and $6 output per million tokens at any context length. Web search and web fetch cost $0.007 per call. No measured orchestration usage is available for effective-cost estimation.", "Max is a new cost-performance line, not a documented replacement for standard Fugu or Ultra; no explicit predecessor is assigned.", "The 1M-token context window and text/image inputs are documented in Sakana’s client model catalog; context length is not inferred from pricing thresholds." ] }, { "id": "gemini-3.8-flash-cyber", "name": "Gemini 3.8 Flash Cyber", "provider": "Google", "country": "United States", "modelType": "specialist", "providerTier": -1, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 0, "evidenceDimensions": 0, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 105, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": null, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": null, "releaseDate": "2026-09-02", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/gemini-3.8-flash-cyber/" }, { "id": "gpt-6-luna-october", "name": "GPT 6 Luna (October)", "provider": "OpenAI", "country": "United States", "modelType": "general", "providerTier": -3, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 0, "evidenceDimensions": 0, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 116, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": null, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": null, "releaseDate": "2026-10-07", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/gpt-6-luna-october/" }, { "id": "gpt-6-sol-october", "name": "GPT 6 Sol (October)", "provider": "OpenAI", "country": "United States", "modelType": "general", "providerTier": -1, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 0, "evidenceDimensions": 0, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 116, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": null, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": null, "releaseDate": "2026-10-07", "openSource": false, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/gpt-6-sol-october/" }, { "id": "laguna-m.1", "name": "laguna-m.1", "provider": "US (Other)", "country": "United States", "modelType": "openWeight", "providerTier": -4, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 1, "evidenceDimensions": 1, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 81, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": 92, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": 0.2, "outputPer1M": 0.4, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 0.6, "usageMultiplier": 0.804, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 0.4827, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": 225.8, "contextWindow": 262144, "releaseDate": "2026-04-28", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/laguna-m.1/" }, { "id": "mimo-v2.6-flash-mopd", "name": "MiMo V2.6 Flash 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"2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/mimo-v2.6-flash-mopd/" }, { "id": "mimo-v2.6-pro-mopd", "name": "MiMo V2.6 Pro MOPD", "provider": "Xiaomi", "country": "China", "modelType": "openWeight", "providerTier": 0, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 0, "evidenceDimensions": 0, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 99, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": null, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": null, "contextWindow": null, "releaseDate": "2026-09-27", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/mimo-v2.6-pro-mopd/" }, { "id": "minicpm-v-4.7-1b", "name": "MiniCPM-V 4.7 1B", "provider": "China (Other)", "country": "China", "modelType": "openWeight", "providerTier": -4, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 0, "evidenceDimensions": 0, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 100, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": 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"cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": 0.575, "usageMultiplier": 0.811, "usageMultiplierSource": "peer-imputed", "effectivePer1M": 0.4664, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": 27, "contextWindow": 262144, "releaseDate": "2026-09-17", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/ternary-bonsai-2-27b/" }, { "id": "xing4.0-29b-a4b", "name": "Xing4.0-29B-A4B", "provider": "China (Other)", "country": "China", "modelType": "openWeight", "providerTier": 0, "generationOffset": 0, "rank": null, "iq": null, "iqCoverage": { "directDimensions": 0, "evidenceDimensions": 0, "totalDimensions": 7 }, "dimensions": { "abstract-reasoning": 99, "mathematical-reasoning": null, "academic-reasoning": 100, "programmatic-reasoning": null, "computer-use": null, "reliability": null, "knowledge-work": null }, "emotionalReasoning": null, "cost": { "inputPer1M": null, "outputPer1M": null, "cacheReadPer1M": null, "cacheWritePer1M": null, "cacheWrite1hPer1M": null, "cacheStorageHourlyPer1M": null, "ioPer1M": null, "usageMultiplier": null, "usageMultiplierSource": null, "effectivePer1M": null, "unit": "USD per 1M I/O Tokens" }, "speed": { "responseTimeSec": null, "completionTimeSec": null, "completionTimeProvenance": null, "medianTokensPerSecond": null }, "parametersB": 29, "contextWindow": 262144, "releaseDate": "2026-09-17", "openSource": true, "updatedAt": "2026-10-13T12:11:32.230Z", "url": "https://www.aiiq.org/models/xing4.0-29b-a4b/" } ] }