Qwen3.8-Max — API Pricing & Benchmarks

Qwen3.8-Max is Alibaba Qwen's flagship reasoning model, released in 2026-08. The API costs $2.00 per 1M input tokens and $6.00 per 1M output tokens ($3.00 blended at a 3:1 ratio), with cached input at $0.25. It supports a 1M-token context window. On the independently measured Artificial Analysis Intelligence Index it scores 58.1, ranking #11 of 68 models tracked on this site, with a median output speed of 39 tokens/sec.

Explore provider routes and additional benchmark sources for Qwen3.8-Max

ProviderAlibaba Qwen
Input price / 1M tokens$2.00
Output price / 1M tokens$6.00
Cached input / 1M tokens$0.25
Blended price (3:1)$3.00
Context window1M
Max output tokens66K
Knowledge cutoff
Licenseproprietary
Input modalitiesT
Output speed (tok/s)39
Released2026-08
Artificial Analysis Intelligence Index58.1
LMArena Elo1480
GPQA Diamond92.7%
Humanity's Last Exam43%

Where Qwen3.8-Max fits

On a blended 3:1 basis Qwen3.8-Max costs $3.00 per 1M tokens, cheaper than 34% of the 80 priced models in this index. As Alibaba Qwen's flagship it is aimed at the hardest workloads — complex reasoning, agentic coding and multi-step tool use — where output quality dominates cost. Measured output speed of 39 tokens/sec is below the index median of 104 — typical of reasoning-heavy models, and worth checking against interactive latency budgets. Cached input is priced at $0.25 (88% below standard input), which rewards prompt structures with long stable prefixes — see our caching guide.

Price history

PeriodInput $/1MOutput $/1MCached $/1M
2026-08-09 → current$2.00$6.00$0.25

No list-price changes recorded since tracking began. Full dataset: price-history.json (CC BY 4.0).

Alternatives at a similar price

About Alibaba Qwen

Alibaba's Qwen line spans from the flagship Qwen Max, which benchmarks near the frontier at a mid-tier price, down to cheap Flash variants. Qwen models are a frequent value pick on price-vs-performance charts.

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