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Qwen3.7 Max Thinking

Qwen3.7 Max with thinking mode enabled for deeper reasoning, coding, and long-running tool workflows.

  • Reasoning

Added May 21, 2026

Pricing

Auto routing · per 1M tokens
Input
$1.47
Output
$4.42
Cache read
$0.30
Compare provider prices

Specifications

Context window
1M
Max output
65.5K
Avg output (7d)
2.9K tokens
Longer than 97% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

29.5

Better than 82% of models compared

Coding Index

66.0

Better than 78% of models compared

Agentic Index

22.5

Better than 63% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

23.0%

Better than 44% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

83.4%

Better than 31% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

915 Elo

Better than 43% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1114 Elo

Better than 56% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

8.6%

Better than 36% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

79.0%

Better than 82% of models compared

Reasoning

HLE

Humanity's Last Exam

40.5%

Better than 88% of models compared

IFBench

Instruction-following benchmark

80.5%

Better than 98% of models compared

CritPt

Research-level physics reasoning

13.4%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

1.5%

Better than 46% of models compared

SciCode

Python programming for scientific computing

49.5%

Better than 51% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

31.1%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

25.6%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

92.3%

Better than 94% of models compared

Terminal-Bench Hard (legacy)

Agentic coding and terminal use

50.8%

Better than 95% of models compared

T²-Bench Telecom (legacy)

Conversational AI agents in dual-control scenarios

94.7%

Better than 93% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

79.0%

Better than 82% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

30.7%

Last updated Oct 2, 2026

Artificial Analysis

Providers

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