Model comparison

GPT-6.1 Sol vs Qwen3.7 Max

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 51.5 on the Noometry Index.

Last verified . 26 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 26 benchmarks with published results for both. GPT-6.1 Sol scores higher in 6 categories and Qwen3.7 Max in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 49.2.
  • The biggest single-benchmark swing is ProofBench: 99% for GPT-6.1 Sol and 26% for Qwen3.7 Max.
  • Qwen3.7 Max is cheaper at $2.50 / $7.50 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-6.1 Sol and Qwen3.7 Max specifications
GPT-6.1 SolQwen3.7 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index65.651.5
Released2026-09-292026-05-19
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$2$2.50
Output $ / M tokens$10$7.50
Results tracked3433

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
LMArena WebDev17551515
SciCode55.8%48.8%
LMArena Coding14871498
SWE-bench Verified—77.3%
DeepSWE75.2%—
FrontierCode50.2%—
ALE-Bench—1,189

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
APEX-Agents60%—
GBAEval—0.4%
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
NYT Connections (extended)95.5%85.1%
CritPt31.7%13.4%
Chess Puzzles61%19%
EBR-Bench54.3%9.5%
LMArena Hard Prompts14661483
Mystery Game Puzzles80%32%
Epoch Capabilities Index166.09153.68
ARC-AGI-294.2%—
SimpleBench—70.4%
ARC-AGI-198.5%—
DTBench—92.3%
LMCA—44%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
FrontierMath (Tiers 1-3)93.7%64.6%
FrontierMath Tier 4100%34.1%
OTIS Mock AIME 2024-2025100%95.6%
ProofBench99%26%
LMArena Math14641490

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
GPQA Diamond95.4%90.9%
SimpleQA Verified73.9%55.8%
LMArena Expert15021488

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Qwen3.7 Max: —

Multimodal benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
LMArena Vision1288—
Furniture Assembly80%—

Multilingual Qwen3.7 Max leads

GPT-6.1 Sol: 54.3 (#46), Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
LMArena Non-English14381474
LMArena Chinese14771530
LMArena Russian14551484

Instruction Following Too close to call

GPT-6.1 Sol: 77.0 (#29), Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
LMArena Instruction Following14681460

Long Context Too close to call

GPT-6.1 Sol: 44.9 (#54), Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
LMArena Longer Query14651482

Writing & Preference Qwen3.7 Max leads

GPT-6.1 Sol: 63.6 (#63), Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkGPT-6.1 SolQwen3.7 Max
LMArena Text14471476
LMArena Creative Writing14321449
LMArena Multi-Turn14491481
EQ-Bench 4—1110

Frequently asked questions

Is GPT-6.1 Sol better than Qwen3.7 Max?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 51.5 on the Noometry Index.

Which is cheaper, GPT-6.1 Sol or Qwen3.7 Max?

Qwen3.7 Max is cheaper. It lists at $2.50 per million input tokens and $7.50 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Qwen3.7 Max better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 50.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1M.

How many benchmarks do GPT-6.1 Sol and Qwen3.7 Max share?

26 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Qwen3.7 Max has 33.

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