Noometry

Model comparison

GPT-5.2 Codex vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 42.6 on the Noometry Index.

Last verified . 1 shared benchmarks.

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5.2 Codex scores higher in 0 categories and Qwen3.8 Max in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Qwen3.8 Max leads 53.5 to 45.5.
  • Qwen3.8 Max is cheaper at $2 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • Qwen3.8 Max accepts more context: 1M tokens versus 400K.

Side by side

GPT-5.2 CodexQwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.656.8
Released2025-12-182026-08-02
WeightsProprietaryProprietary
Context window400K1M
Max output128K131K
Input $ / M tokens$1.75$2
Output $ / M tokens$14$6
Results tracked539

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Category by category

Coding Qwen3.8 Max leads

GPT-5.2 Codex: 45.5 (#71), Qwen3.8 Max: 53.5 (#29)

BenchmarkGPT-5.2 CodexQwen3.8 Max
LMArena WebDev13391674
DeepSWE—57.5%
SWE-bench Verified (bash only)72.8%—
SWE-bench Multilingual66.3%—
FrontierSWE—17.8%
SciCode—53.2%
LMArena Coding—1502
ALE-Bench1,300—

Agentic & Tool Use Qwen3.8 Max leads

GPT-5.2 Codex: 41.0 (#22), Qwen3.8 Max: 45.4 (#14)

BenchmarkGPT-5.2 CodexQwen3.8 Max
Terminal-Bench66.5%—
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 54.4 (#26)

BenchmarkGPT-5.2 CodexQwen3.8 Max
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
LMArena Hard Prompts—1496
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 73.2 (#20)

BenchmarkGPT-5.2 CodexQwen3.8 Max
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
LMArena Math—1499

Knowledge Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 61.7 (#27)

BenchmarkGPT-5.2 CodexQwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507

Multimodal Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 37.2 (#75)

BenchmarkGPT-5.2 CodexQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 56.7 (#18)

BenchmarkGPT-5.2 CodexQwen3.8 Max
LMArena Non-English—1472
LMArena Chinese—1538
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Russian—1481
LMArena Spanish—1492

Instruction Following Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 77.6 (#17)

BenchmarkGPT-5.2 CodexQwen3.8 Max
LMArena Instruction Following—1479

Long Context Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 45.6 (#31)

BenchmarkGPT-5.2 CodexQwen3.8 Max
LMArena Longer Query—1489

Writing & Preference Not comparable

GPT-5.2 Codex: —, Qwen3.8 Max: 67.1 (#30)

BenchmarkGPT-5.2 CodexQwen3.8 Max
LMArena Text—1483
LMArena Creative Writing—1479
LMArena Multi-Turn—1489

Frequently asked questions

Is GPT-5.2 Codex better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 42.6 on the Noometry Index.

Which is cheaper, GPT-5.2 Codex or Qwen3.8 Max?

Qwen3.8 Max is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GPT-5.2 Codex or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 45.5 in the Noometry coding category.

Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 400K.

How many benchmarks do GPT-5.2 Codex and Qwen3.8 Max share?

1 benchmark has published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Qwen3.8 Max has 39.

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