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Migrating from qwen3.6-max-preview to qwen3.7-max

What changes when you move from qwen3.6-max-preview to qwen3.7-max: input price +92.3%, output price −3.8%.

Status
Retired
Shutdown
Oct 10, 2026
Time left
—
Status
Active
Shutdown
none announced
Time left
—

Prices

USD per 1M tokens, standard tier
Typeqwen3.6-max-previewqwen3.7-maxChange
Input$1.30first seen October 5, 2026 · source$2.50first seen October 5, 2026 · source+92.3%
Cached inputNot published$0.50first seen October 5, 2026 · source—
Output$7.80first seen October 5, 2026 · source$7.50first seen October 5, 2026 · source−3.8%

At 1M input and 250K output tokens a month: $3.25 on qwen3.6-max-preview, $4.375 on qwen3.7-max (+34.6%).

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

Limits

Tokens
Limitqwen3.6-max-previewqwen3.7-maxChange
Context windowNot published1,000,000 tokensin place when tracking began (October 6, 2026) · source—
Max output tokensNot published131,072 tokensin place when tracking began (October 6, 2026) · source—

Benchmarks

Same benchmark, source and setting on both sides
Benchmarkqwen3.6-max-previewqwen3.7-maxChange
GPQA DiamondEpoch AI.87.4%90.9%+3.5 pts
OTIS Mock AIME 2024-2025Epoch AI.91.1%95.6%+4.5 pts
SimpleQA VerifiedEpoch AI.52.0%55.8%+3.8 pts
SWE-bench VerifiedEpoch AI.76.7%77.3%+0.6 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: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.

Features and parameters

Compare models

No feature is published for both models, so none can be compared.

Not published for qwen3.6-max-preview: Structured outputs, Function calling, Prompt caching, Batch API, Image input, PDF input, Reasoning / thinking, Fine-tuning, Built-in web search, temperature parameter, top_p parameter, logprobs, Context window, Max output tokens.

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

No aliases point at either model.

Checklist

  1. Change the model string from qwen3.6-max-preview to qwen3.7-max.
  2. Re-check costs: qwen3.7-max costs more than qwen3.6-max-preview (input +92.3%).

Compared from AIWire's published data when this page loaded. Each fact links to the page it came from. Model pages: qwen3.6-max-preview, qwen3.7-max.