Model comparison

GPT-5.1 vs Qwen2.5 Plus 1127

GPT-5.1 is the stronger model overall, scoring 48.8 to 38.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-5.1 OpenAI

48.8

Rank #47 Confirmed

Qwen2.5 Plus 1127 Alibaba (Qwen)

38.1

Rank #179 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-5.1 scores higher in 8 categories and Qwen2.5 Plus 1127 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.1 leads 50.3 to 33.5.

Side by side

GPT-5.1 and Qwen2.5 Plus 1127 specifications
GPT-5.1Qwen2.5 Plus 1127
ProviderOpenAIAlibaba (Qwen)
Noometry Index48.838.1
Released2025-11-13—
WeightsProprietaryProprietary
Context window400K—
Max output128K—
Input $ / M tokens$1.25—
Output $ / M tokens$10—
Results tracked6314

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Category by category

Coding GPT-5.1 leads

GPT-5.1: 46.9 (#59), Qwen2.5 Plus 1127: 37.9 (#171)

Coding benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Coding14541314
SWE-bench Verified68%—
SWE-bench Verified (bash only)66%—
LMArena WebDev1395—
SciCode43.3%—
GSO13.7%—
WeirdML60.8%—
LiveBench Coding72.5%—
ALE-Bench1,192—

Agentic & Tool Use Not comparable

GPT-5.1: 32.5 (#55), Qwen2.5 Plus 1127: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
Terminal-Bench47.6%—
DeepResearch Bench42.8%—
LMArena Search1199—
Vending-Bench 21,473—

Reasoning GPT-5.1 leads

GPT-5.1: 39.9 (#50), Qwen2.5 Plus 1127: 24.8 (#139)

Reasoning benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Hard Prompts14571299
ARC-AGI-217.6%—
SimpleBench53.2%—
ARC-AGI-172.8%—
CritPt4.9%—
Chess Puzzles32%—
EnigmaEval11.2%—
LiveBench Reasoning95.8%—
Mystery Game Puzzles19%—
DTBench90.1%—
LiveBench Data Analysis72.1%—
LMCA43.9%—
Epoch Capabilities Index149.66—
ForecastBench58.1—
LiveBench78.8%—

Math GPT-5.1 leads

GPT-5.1: 50.3 (#45), Qwen2.5 Plus 1127: 33.5 (#175)

Math benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Math14461298
OTIS Mock AIME 2024-202588.6%—
Omni-MATH46.4%—
LiveBench Math94.5%—
FrontierMath (Feb 2025 set)31%—
FrontierMath Tier 4 (v1)12.5%—

Knowledge GPT-5.1 leads

GPT-5.1: 50.5 (#65), Qwen2.5 Plus 1127: 34.9 (#179)

Knowledge benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Expert14701289
GPQA Diamond87.6%—
Humanity's Last Exam23.7%—
SimpleQA Verified48%—
MMLU-Pro57.9%—
Vectara Hallucination Rate10.9%—
GPQA (HELM)44.2%—

Multimodal Not comparable

GPT-5.1: 44.0 (#17), Qwen2.5 Plus 1127: —

Multimodal benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Vision1250—
VPCT58.7%—
LMArena Document1403—

Multilingual GPT-5.1 leads

GPT-5.1: 54.0 (#51), Qwen2.5 Plus 1127: 42.1 (#196)

Multilingual benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Non-English14311265
LMArena Chinese14951314
LMArena German14391231
LMArena Japanese14531207
LMArena Russian14351271
LMArena French1451—
LMArena Korean1401—
LMArena Spanish1430—

Instruction Following GPT-5.1 leads

GPT-5.1: 84.0 (#1), Qwen2.5 Plus 1127: 67.4 (#194)

Instruction Following benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Instruction Following14421275
LiveBench Instruction Following93.3%—
IFEval93.5%—

Long Context GPT-5.1 leads

GPT-5.1: 47.6 (#14), Qwen2.5 Plus 1127: 39.2 (#180)

Long Context benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Longer Query14481292
CL-bench23.7%—
CL-bench Life17.3%—

Writing & Preference GPT-5.1 leads

GPT-5.1: 64.7 (#53), Qwen2.5 Plus 1127: 49.5 (#186)

Writing & Preference benchmarks
BenchmarkGPT-5.1Qwen2.5 Plus 1127
LMArena Text14431299
LMArena Creative Writing14271262
LMArena Multi-Turn14491299
WildBench86.3%—
LiveBench Language80.2%—

Frequently asked questions

Is GPT-5.1 better than Qwen2.5 Plus 1127?

GPT-5.1 is the stronger model overall, scoring 48.8 to 38.1 on the Noometry Index.

Is GPT-5.1 or Qwen2.5 Plus 1127 better for coding?

GPT-5.1 scores higher on coding benchmarks: 46.9 versus 37.9 in the Noometry coding category.

How many benchmarks do GPT-5.1 and Qwen2.5 Plus 1127 share?

14 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Qwen2.5 Plus 1127 has 14.

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