Noometry

Model comparison

GPT-6 Sol vs QwQ-32B

GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.4 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

QwQ-32B Alibaba (Qwen)

39.4

Rank #153 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6 Sol scores higher in 6 categories and QwQ-32B in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 22.9.
  • QwQ-32B has downloadable open weights; the other is API-only.

Side by side

GPT-6 SolQwQ-32B
ProviderOpenAIAlibaba (Qwen)
Noometry Index49.239.4
Released2026-09-222024-11-28
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked2236

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 59.6 (#11), QwQ-32B: 34.9 (#220)

BenchmarkGPT-6 SolQwQ-32B
LMArena Coding14531333
DeepSWE68.8%—
FrontierCode49.3%—
Aider Polyglot—20.9%
LMArena WebDev1692—
BigCodeBench Instruct—44.6%
LiveBench Coding—72.2%
BigCodeBench Complete—54.4%

Agentic & Tool Use Not comparable

GPT-6 Sol: 33.5 (#49), QwQ-32B: —

BenchmarkGPT-6 SolQwQ-32B
GDP.pdf28%—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 49.3 (#34), QwQ-32B: 22.9 (#171)

BenchmarkGPT-6 SolQwQ-32B
LMArena Hard Prompts14201326
NYT Connections (extended)90.1%—
Chess Puzzles—5%
EBR-Bench53.3%—
LiveBench Reasoning—83.5%
LiveBench Data Analysis—65%
Epoch Capabilities Index—137.6
ForecastBench—58.3
LiveBench—72%

Math Too close to call

GPT-6 Sol: 35.8 (#135), QwQ-32B: 36.2 (#123)

BenchmarkGPT-6 SolQwQ-32B
LMArena Math14041359
OTIS Mock AIME 2024-2025—59.2%
LiveBench Math—77.8%

Knowledge GPT-6 Sol leads

GPT-6 Sol: 43.0 (#87), QwQ-32B: 37.2 (#150)

BenchmarkGPT-6 SolQwQ-32B
LMArena Expert14491323
GPQA Diamond—65.3%
Confabulations—15.6%
Vectara Hallucination Rate6.5%—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#9), QwQ-32B: —

BenchmarkGPT-6 SolQwQ-32B
Furniture Assembly58.3%—

Multilingual GPT-6 Sol leads

GPT-6 Sol: 51.0 (#113), QwQ-32B: 45.0 (#171)

BenchmarkGPT-6 SolQwQ-32B
LMArena Non-English13891306
LMArena Chinese14161378
LMArena Russian14071297
LMArena Spanish13771353
LMArena French—1337
LMArena German—1313
LMArena Japanese—1263
LMArena Korean—1278

Instruction Following GPT-6 Sol leads

GPT-6 Sol: 74.4 (#97), QwQ-32B: 72.8 (#131)

BenchmarkGPT-6 SolQwQ-32B
LMArena Instruction Following14061297
LiveBench Instruction Following—81.8%

Long Context QwQ-32B leads

GPT-6 Sol: 43.2 (#100), QwQ-32B: 49.0 (#11)

BenchmarkGPT-6 SolQwQ-32B
LMArena Longer Query14151308
Fiction.LiveBench—83.3%

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 72.3 (#15), QwQ-32B: 50.9 (#175)

BenchmarkGPT-6 SolQwQ-32B
LMArena Text13961329
LMArena Creative Writing13921288
EQ-Bench Creative Writing21251257
LMArena Multi-Turn14051314
Short-Story Creative Writing—80.2%
LiveBench Language—51.4%

Frequently asked questions

Is GPT-6 Sol better than QwQ-32B?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.4 on the Noometry Index.

Is GPT-6 Sol or QwQ-32B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 34.9 in the Noometry coding category.

How many benchmarks do GPT-6 Sol and QwQ-32B share?

14 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and QwQ-32B has 36.

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