Model comparison

GPT-5-Codex vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 37.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • The widest gap is in reasoning, where Qwen3.8 Max leads 54.4 to 30.9.
  • Qwen3.8 Max is cheaper at $2 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
  • Qwen3.8 Max accepts more context: 1M tokens versus 400K.

Side by side

GPT-5-Codex and Qwen3.8 Max specifications
GPT-5-CodexQwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index37.956.8
Released2025-09-152026-08-02
WeightsProprietaryProprietary
Context window400K1M
Max output128K131K
Input $ / M tokens$1.25$2
Output $ / M tokens$10$6
Results tracked339

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen3.8 Max leads

GPT-5-Codex: 42.4 (#103), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%
WeirdML54.5%—
LMArena Coding—1502

Agentic & Tool Use Qwen3.8 Max leads

GPT-5-Codex: 31.0 (#72), Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
Terminal-Bench44.3%—
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

GPT-5-Codex: 30.9 (#83), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
Kagi LLM Benchmark70.3%—
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-Codex: —, Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkGPT-5-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-Codex: —, Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507

Multimodal Not comparable

GPT-5-Codex: —, Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Not comparable

GPT-5-Codex: —, Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkGPT-5-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-Codex: —, Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
LMArena Instruction Following—1479

Long Context Not comparable

GPT-5-Codex: —, Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
LMArena Longer Query—1489

Writing & Preference Not comparable

GPT-5-Codex: —, Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkGPT-5-CodexQwen3.8 Max
LMArena Text—1483
LMArena Creative Writing—1479
LMArena Multi-Turn—1489

Frequently asked questions

Is GPT-5-Codex better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 37.9 on the Noometry Index.

Which is cheaper, GPT-5-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-Codex lists at $1.25 and $10.

Is GPT-5-Codex or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 42.4 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-Codex and Qwen3.8 Max share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3.8 Max has 39.

Related comparisons

Go deeper