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Alibaba · released 2026-05-19

Qwen 3.7 Max

Measured on 105 benchmarks.

14.8

#58 of 94 models · best at max

includes estimates: 35% of the mix is measured for this model

Strengths

  • Qwen 3.7 Max
  • Gemini 4 Carbon (#1)
  • Field median
bestField medianFrontierCode 2.0-…Terminal-Bench v4…AA-Briefcase v1.1AutomationBench-AATerminal-Bench-Sc…HLE-DiamondCritPt v2 Hard Su…AA-Omniscience v1…AA-Omniscience v1…GDP.pdf
  1. FrontierCode 2.0-AA15%10.0% est.#55 of 94
  2. Terminal-Bench v4-AA10%1.5%#55 of 94
  3. AA-Briefcase v1.115%917#66 of 94
  4. AutomationBench-AA5%23.0%#61 of 94
  5. Terminal-Bench-Science-AA15%0.3% est.#67 of 94
  6. HLE-Diamond10%13.6% est.#55 of 94
  7. CritPt v2 Hard Subset10%14.8% est.#61 of 94
  8. AA-Omniscience v1.1 Accuracy10%28.7% est.#57 of 94
  9. AA-Omniscience v1.1 Non-hallucination5%53.3% est.#41 of 94
  10. GDP.pdf5%8.6%#64 of 94

Bars show where Qwen 3.7 Max sits among the 94 ranked models on each benchmark (right is best); the tick is the field median.

Cost and speed

against 94 ranked models

Output speed

#15 fastest of 74

202 tok/sat max

Time to first token

#29 quickest of 74

2.2sat max

Token price

$0.585 per 1M tokens at API prices$0.177 on Command Code GOAT

97.0% cache read · 2.50% fresh input · 0.00% cache write · 0.50% output

Assumed mix: no measured T3 Code usage for this model.

Not measured for Qwen 3.7 Max: cost per task, time per task, output tokens per task (no published API price yet).

This ranking’s benchmarks

4 of 10 measured

agentic

AutomationBench-AA

241 results
  1. #145max of 24123.0%

Leader: Gemini 4 Carbon · 77.8%

agentic

AA-Briefcase v1.1

247 results
  1. #154max of 247917

Leader: Sonnet 5.5 · 1814

economics

GDP.pdf

240 results
  1. #157max of 2408.6%

Leader: Muse Wonder Full · 32.6%

coding

Terminal-Bench v4-AA

238 results
  1. #139max of 2381.5%

Leader: Kimi K3.1 · 67.2%

All 105 benchmarks

show 101 more