AA Long Context Reasoning vs Completion Time
Each model's AA Long Context Reasoning score against its estimated completion time (time to last token) for the selected input and output lengths. Timing is the site's per-model estimate, not a published benchmark run time. Color = provider.
AA Long Context Reasoning vs Completion Time
Each model's AA Long Context Reasoning score against its estimated completion time (time to last token) for the selected input and output lengths. Timing is the site's per-model estimate, not a published benchmark run time. Color = provider.
Controls:
This chart is part of the AA Long Context Reasoning benchmark page, which adds the model table, sources and how to read each view.
Response TimeIQ vs Completion TimeEach model's estimated IQ against its completion time, which is time to last token (TTLT). Drag the input (1K–10K tokens) and output (100–10K tokens) sliders to see how it changes with the workload.Data: AI IQ methodology, Artificial AnalysisOpen chartMore / ExperimentalSWE-Bench Verified Benchmark ScoresHistorical data. Vals archived cohort; retired from default Software Engineering domain. Each model's SWE-Bench Verified score. Color = provider.Data: Vals.ai, LLM StatsOpen chartMore / ExperimentalTerminal-Bench 2.0 Benchmark ScoresHistorical data. Superseded by 2.1 and 4.0. Legacy Terminal-Bench 2.0 scores retained for historical comparison. Color = provider.Data: Terminal-BenchOpen chartMore / ExperimentalTerminal-Bench 2.1 Benchmark ScoresHistorical data. Superseded in Programmatic Reasoning by Terminal-Bench 4.0. Each model's Terminal-Bench 2.1 pass@1 score, using Artificial Analysis as canonical and Vals.ai as fallback. Color = provider.Data: Artificial Analysis Terminal-Bench v2.1, Vals.ai Terminal-Bench 2.1, Artificial Analysis Intelligence Index v4.3.1Open chartMore / ExperimentalTerminal-Bench Hard Benchmark ScoresHistorical data. Historical hard subset; not a Terminal-Bench 4.0 result. Each model's Terminal-Bench Hard score. Color = provider.Data: Artificial AnalysisOpen chartMore / ExperimentalARC-AGI-3 Cost EfficiencyX = ARC Prize reported Cost (V3) (log). Y = ARC-AGI-3 %. Each line connects one model's published reasoning-effort levels, so the score-vs-cost tradeoff is visible per model. Defaults to the current model generation. Color = provider.Data: ARC PrizeOpen chart