Noometry

Model comparison

GPT-5.1-Codex-mini vs Qwen3.8 Max

Qwen3.8 Max has enough public results to be ranked (#21); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GPT-5.1-Codex-mini OpenAI

36.9

Unranked Sparse

Qwen3.8 Max Alibaba (Qwen)

56.0

Rank #21 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5.1-Codex-mini 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 52.3 to 31.4.
  • GPT-5.1-Codex-mini is cheaper at $0.25 / $2 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
  • Qwen3.8 Max accepts more context: 1M tokens versus 400K.

Side by side

GPT-5.1-Codex-miniQwen3.8 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index36.956.0
Released2025-11-122026-08-02
WeightsProprietaryProprietary
Context window400K1M
Max output128K131K
Input $ / M tokens$0.25$2
Output $ / M tokens$2$6
Results tracked238

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Category by category

Coding Qwen3.8 Max leads

GPT-5.1-Codex-mini: 31.4, Qwen3.8 Max: 52.3 (#30)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
LMArena WebDev12441671
DeepSWE—57.5%
FrontierSWE—15.8%
SciCode—52.9%
LMArena Coding—1499

Agentic & Tool Use Qwen3.8 Max leads

GPT-5.1-Codex-mini: 38.3, Qwen3.8 Max: 42.6 (#17)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
Terminal-Bench61.6%—
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 53.4 (#26)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
LMArena Hard Prompts—1493
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.69

Math Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 73.1 (#15)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
LMArena Math—1498

Knowledge Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 61.7 (#25)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1504

Multimodal Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 36.9 (#70)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 56.6 (#18)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
LMArena Non-English—1468
LMArena Chinese—1537
LMArena French—1502
LMArena German—1489
LMArena Japanese—1466
LMArena Korean—1467
LMArena Russian—1478
LMArena Spanish—1495

Instruction Following Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 77.7 (#19)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
LMArena Instruction Following—1478

Long Context Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 45.5 (#30)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
LMArena Longer Query—1486

Writing & Preference Not comparable

GPT-5.1-Codex-mini: —, Qwen3.8 Max: 67.0 (#31)

BenchmarkGPT-5.1-Codex-miniQwen3.8 Max
LMArena Text—1480
LMArena Creative Writing—1478
LMArena Multi-Turn—1487

Frequently asked questions

Is GPT-5.1-Codex-mini better than Qwen3.8 Max?

Qwen3.8 Max has enough public results to be ranked (#21); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.

Which is cheaper, GPT-5.1-Codex-mini or Qwen3.8 Max?

GPT-5.1-Codex-mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Qwen3.8 Max lists at $2 and $6.

Is GPT-5.1-Codex-mini or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 52.3 versus 31.4 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-5.1-Codex-mini and Qwen3.8 Max share?

1 benchmark has published results for both models. GPT-5.1-Codex-mini has 2 scored results on Noometry and Qwen3.8 Max has 38.

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