Model comparison

GPT-5.3 Codex vs Qwen2.5-Max

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 40.7 on the Noometry Index.

Last verified . 1 shared benchmarks.

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

Qwen2.5-Max Alibaba (Qwen)

40.7

Rank #146 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen2.5-Max in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 41.8.

Side by side

GPT-5.3 Codex and Qwen2.5-Max specifications
GPT-5.3 CodexQwen2.5-Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.840.7
Released2026-02-052025-01-25
WeightsProprietaryProprietary
Context window400K—
Max output128K—
Input $ / M tokens$1.75—
Output $ / M tokens$14—
Results tracked827

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Category by category

Coding GPT-5.3 Codex leads

GPT-5.3 Codex: 48.6 (#56), Qwen2.5-Max: 41.8 (#117)

Coding benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
SWE-bench Verified74.8%—
LMArena WebDev1409—
WeirdML79.3%—
LiveBench Coding—64.4%
LMArena Coding—1359
ALE-Bench1,655—

Agentic & Tool Use Not comparable

GPT-5.3 Codex: 48.0 (#9), Qwen2.5-Max: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
Terminal-Bench78.4%—
METR Time Horizons74.5%—
Vending-Bench 25,940—

Reasoning Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 25.6 (#147)

Reasoning benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
Epoch Capabilities Index156.77132.53
LiveBench Reasoning—51.4%
LMArena Hard Prompts—1360
LiveBench Data Analysis—67.9%
LiveBench—62.3%

Math Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 36.9 (#162)

Math benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
LiveBench Math—58.4%
LMArena Math—1369

Knowledge Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 35.3 (#186)

Knowledge benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
Confabulations—21.8%
LMArena Expert—1337

Multilingual Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 48.1 (#146)

Multilingual benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
LMArena Non-English—1352
LMArena Chinese—1382
LMArena French—1396
LMArena German—1350
LMArena Japanese—1300
LMArena Korean—1304
LMArena Russian—1353
LMArena Spanish—1377

Instruction Following Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 71.3 (#152)

Instruction Following benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
LiveBench Instruction Following—75.3%
LMArena Instruction Following—1335

Long Context Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 41.4 (#142)

Long Context benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
LMArena Longer Query—1358

Writing & Preference Not comparable

GPT-5.3 Codex: —, Qwen2.5-Max: 55.4 (#146)

Writing & Preference benchmarks
BenchmarkGPT-5.3 CodexQwen2.5-Max
LMArena Text—1367
LMArena Creative Writing—1339
Short-Story Creative Writing—72.9%
LMArena Multi-Turn—1364
LiveBench Language—56.3%

Frequently asked questions

Is GPT-5.3 Codex better than Qwen2.5-Max?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 40.7 on the Noometry Index.

Is GPT-5.3 Codex or Qwen2.5-Max better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 41.8 in the Noometry coding category.

How many benchmarks do GPT-5.3 Codex and Qwen2.5-Max share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen2.5-Max has 27.

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