Noometry

Model comparison

GPT-6 Sol vs Qwen2.5-Max

GPT-6 Sol is the stronger model overall, scoring 61.8 to 40.7 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Qwen2.5-Max Alibaba (Qwen)

40.7

Rank #146 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and Qwen2.5-Max in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Sol leads 87.2 to 36.9.

Side by side

GPT-6 SolQwen2.5-Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index61.840.7
Released2026-09-222025-01-25
WeightsProprietaryProprietary
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked4527

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 60.1 (#11), Qwen2.5-Max: 41.8 (#117)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Coding14471359
DeepSWE68.8%—
FrontierCode49.3%—
LMArena WebDev1688—
SciCode57.6%—
LiveBench Coding—64.4%
ALE-Bench2,462—

Agentic & Tool Use Not comparable

GPT-6 Sol: 37.2 (#36), Qwen2.5-Max: —

BenchmarkGPT-6 SolQwen2.5-Max
APEX-Agents54.3%—
GDP.pdf26.4%—
Vending-Bench 214,428—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 74.0 (#9), Qwen2.5-Max: 25.6 (#147)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Hard Prompts14181360
Epoch Capabilities Index162.72132.53
ARC-AGI-289.6%—
NYT Connections (extended)90.1%—
ARC-AGI-195.5%—
CritPt30.9%—
EBR-Bench53.3%—
LiveBench Reasoning—51.4%
Mystery Game Puzzles56%—
DTBench97.3%—
LiveBench Data Analysis—67.9%
LMCA59.1%—
LiveBench—62.3%

Math GPT-6 Sol leads

GPT-6 Sol: 87.2 (#7), Qwen2.5-Max: 36.9 (#162)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Math14021369
FrontierMath (Tiers 1-3)89.8%—
FrontierMath Tier 490%—
OTIS Mock AIME 2024-2025100%—
ProofBench83%—
LiveBench Math—58.4%

Knowledge GPT-6 Sol leads

GPT-6 Sol: 64.8 (#15), Qwen2.5-Max: 35.3 (#186)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Expert14391337
GPQA Diamond94.3%—
SimpleQA Verified60.7%—
Confabulations—21.8%
Vectara Hallucination Rate6.5%—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#10), Qwen2.5-Max: —

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Vision1245—
Blueprint-Bench 236.9%—
Furniture Assembly58.3%—

Multilingual GPT-6 Sol leads

GPT-6 Sol: 50.5 (#118), Qwen2.5-Max: 48.1 (#146)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Non-English13851352
LMArena Chinese14051382
LMArena French14101396
LMArena German13901350
LMArena Japanese13851300
LMArena Korean13411304
LMArena Russian14011353
LMArena Spanish13841377

Instruction Following GPT-6 Sol leads

GPT-6 Sol: 74.5 (#94), Qwen2.5-Max: 71.3 (#152)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Instruction Following14121335
LiveBench Instruction Following—75.3%

Long Context GPT-6 Sol leads

GPT-6 Sol: 43.1 (#108), Qwen2.5-Max: 41.4 (#142)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Longer Query14111358

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 71.9 (#18), Qwen2.5-Max: 55.4 (#146)

BenchmarkGPT-6 SolQwen2.5-Max
LMArena Text13951367
LMArena Creative Writing13781339
LMArena Multi-Turn14121364
Short-Story Creative Writing—72.9%
EQ-Bench Creative Writing2125—
LiveBench Language—56.3%

Frequently asked questions

Is GPT-6 Sol better than Qwen2.5-Max?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 40.7 on the Noometry Index.

Is GPT-6 Sol or Qwen2.5-Max better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 41.8 in the Noometry coding category.

How many benchmarks do GPT-6 Sol and Qwen2.5-Max share?

18 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Qwen2.5-Max has 27.

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