Alibaba

Qwen3.8 Max 0902 API Pricing

Qwen3.8 Max 0902 has tracked API rates of $2.00 per 1M input tokens and $6.00 per 1M output tokens. Cached input is billed at $0.25 per 1M tokens. Rates are in USD from the AI IQ dataset; see the Qwen3.8 Max 0902 model profile for capability scores.

Input / 1M
$2.00
Output / 1M
$6.00
Effective / 1M I/O
$20.42
Cost Rank
#128

Price List

RatePrice (USD)Notes
Input$2.00per 1M tokens
Output$6.00per 1M tokens
Cached input (read)$0.25per 1M tokens
Blended input + output$8.001M in + 1M out at list price
Context window1M tokens

Pricing References and Billing Caveats

These are the tracked rates, not a live quote. Hosted-provider choice, region, long-context tiers, caching, batch discounts, and temporary promotions can change the actual bill. Open-weight availability does not mean hosted inference is free. Workload examples assume the listed standard input and output rates, with no cache hits or discounts.

Alibaba pricing catalog — check current offerings and rate tiers. This catalog may not list historical models or third-party hosted endpoints.

Publisher-reported pricing notes

  • A separately addressable upgraded snapshot of Qwen3.8 Max, also named qwen3.8-max-2026-09-02.

Official release and model references

These references document the model and its release; not every reference is a pricing table. Confirm the applicable endpoint and billing tier with your inference provider before purchase.

What a Workload Costs

Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Qwen3.8 Max 0902.

WorkloadCostTokens
Short chat turn$0.005001K in / 500 out
Summarize a long document$0.212100K in / 2K out
Agentic coding session$1.60500K in / 100K out
1M input + 1M output tokens$8.001M in / 1M out

Effective Cost

In AI IQ's scoring, Qwen3.8 Max 0902's list price is adjusted by a token-usage multiplier of 2.553 (measured from real benchmark runs), giving an effective cost of $20.42 per 1M input + output tokens. That places it #128 of 155 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.

Cheaper Alternatives at Similar Capability

Models with a lower effective cost that score within a few IQ points of Qwen3.8 Max 0902 (IQ 126), or better.

ModelProviderIQEffective Cost / 1M
gpt-6.1-solOpenAI141$6.25
gpt-6-solOpenAI137$9.75
DeepSeek V4.1 Flash 1017DeepSeek129$2.40
Gemini 3.8 FlashGoogle129$7.91
gpt-5.6-terraOpenAI129$13.62
gemini-3.7-flashGoogle127$5.95

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