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Migrating from qwen3.7-max to qwen3.8-max

What changes when you move from qwen3.7-max to qwen3.8-max: input price −20%, output price −20%.

Status
Active
Shutdown
none announced
Time left
—
Status
Active
Shutdown
none announced
Time left
—

Prices

USD per 1M tokens, standard tier
Typeqwen3.7-maxqwen3.8-maxChange
Input$2.50first seen October 5, 2026 · source$2.00first seen October 5, 2026 · source−20%
Cached input$0.50first seen October 5, 2026 · source$0.25first seen October 5, 2026 · source−50%
Output$7.50first seen October 5, 2026 · source$6.00first seen October 5, 2026 · source−20%

At 1M input and 250K output tokens a month: $4.375 on qwen3.7-max, $3.50 on qwen3.8-max (−20%).

Other tiers, prompt-size bands and modalities are on each model's page.

Limits

Tokens
Limitqwen3.7-maxqwen3.8-maxChange
Context window1,000,000 tokensin place when tracking began (October 6, 2026) · source1,000,000 tokensin place when tracking began (October 6, 2026) · source0%
Max output tokens131,072 tokensin place when tracking began (October 6, 2026) · source131,072 tokensin place when tracking began (October 6, 2026) · source0%

Benchmarks

Same benchmark and source on both sides; settings named where they differ
Benchmarkqwen3.7-maxqwen3.8-maxChange
Arena AgentArena. Ranges don't overlap.-0.058 ±0.0120.019 ±0.006+0.077
FrontierMath Tier 4Epoch AI, xhigh effort (vs no setting).34.1%46.3%+12.2 pts
FrontierMath Tiers 1-3Epoch AI, xhigh effort (vs no setting).64.6%74.7%+10.1 pts
GPQA DiamondEpoch AI, xhigh effort (vs no setting).90.9%92.7%+1.8 pts
OTIS Mock AIME 2024-2025Epoch AI, xhigh effort (vs no setting).95.6%99.4%+3.8 pts
SimpleQA VerifiedEpoch AI, xhigh effort (vs no setting).55.8%45.8%−10.0 pts

A score from one source is never compared with another source's, and company-reported scores are compared only within the same company; settings named where they differ. Data: Arena (arena.ai), CC BY 4.0; Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.

Features and parameters

Compare models

Same on both

  • Structured outputs: supported on both.qwen3.7-max: in place when tracking began (October 6, 2026) · source · qwen3.8-max: in place when tracking began (October 6, 2026) · source
  • Function calling: supported on both.qwen3.7-max: in place when tracking began (October 6, 2026) · source · qwen3.8-max: in place when tracking began (October 6, 2026) · source
  • Prompt caching: supported on both.qwen3.7-max: in place when tracking began (October 6, 2026) · source · qwen3.8-max: in place when tracking began (October 6, 2026) · source
  • Batch API: not supported (supported in the Beijing region only) on both.qwen3.7-max: first seen October 8, 2026 · source · qwen3.8-max: first seen October 8, 2026 · source
  • Fine-tuning: not supported on both.qwen3.7-max: in place when tracking began (October 6, 2026) · source · qwen3.8-max: in place when tracking began (October 6, 2026) · source
  • Built-in web search: supported on both.qwen3.7-max: in place when tracking began (October 6, 2026) · source · qwen3.8-max: in place when tracking began (October 6, 2026) · source

Not published for qwen3.7-max: Image input, PDF input, Reasoning / thinking, temperature parameter, top_p parameter, logprobs.

Not published for qwen3.8-max: PDF input, Reasoning / thinking, temperature parameter, top_p parameter, logprobs.

No aliases point at either model.

Checklist

  1. Change the model string from qwen3.7-max to qwen3.8-max.

Compared from AIWire's published data when this page loaded. Each fact links to the page it came from. Model pages: qwen3.7-max, qwen3.8-max.