Noometry

Model comparison

GPT-5.3 Codex vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 45.8 on the Noometry Index.

Last verified . 4 shared benchmarks.

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 4 benchmarks with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen3.7 Max in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 22.1.
  • Qwen3.7 Max is cheaper at $2.50 / $7.50 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
  • Qwen3.7 Max accepts more context: 1M tokens versus 400K.

Side by side

GPT-5.3 CodexQwen3.7 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.851.5
Released2026-02-052026-05-19
WeightsProprietaryProprietary
Context window400K1M
Max output128K131K
Input $ / M tokens$1.75$2.50
Output $ / M tokens$14$7.50
Results tracked833

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Category by category

Coding Qwen3.7 Max leads

GPT-5.3 Codex: 48.6 (#56), Qwen3.7 Max: 50.4 (#45)

BenchmarkGPT-5.3 CodexQwen3.7 Max
SWE-bench Verified74.8%77.3%
LMArena WebDev14091515
ALE-Bench1,6551,189
SciCode—48.8%
WeirdML79.3%—
LMArena Coding—1498

Agentic & Tool Use GPT-5.3 Codex leads

GPT-5.3 Codex: 48.0 (#9), Qwen3.7 Max: 22.1 (#135)

BenchmarkGPT-5.3 CodexQwen3.7 Max
Terminal-Bench78.4%—
GBAEval—0.4%
METR Time Horizons74.5%—
Vending-Bench 25,940—

Reasoning Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 49.2 (#38)

BenchmarkGPT-5.3 CodexQwen3.7 Max
Epoch Capabilities Index156.77153.68
SimpleBench—70.4%
NYT Connections (extended)—85.1%
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
LMArena Hard Prompts—1483
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%

Math Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 62.4 (#32)

BenchmarkGPT-5.3 CodexQwen3.7 Max
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%
LMArena Math—1490

Knowledge Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 61.6 (#28)

BenchmarkGPT-5.3 CodexQwen3.7 Max
GPQA Diamond—90.9%
SimpleQA Verified—55.8%
LMArena Expert—1488

Multilingual Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 56.9 (#15)

BenchmarkGPT-5.3 CodexQwen3.7 Max
LMArena Non-English—1474
LMArena Chinese—1530
LMArena Russian—1484

Instruction Following Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 76.7 (#38)

BenchmarkGPT-5.3 CodexQwen3.7 Max
LMArena Instruction Following—1460

Long Context Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 45.4 (#40)

BenchmarkGPT-5.3 CodexQwen3.7 Max
LMArena Longer Query—1482

Writing & Preference Not comparable

GPT-5.3 Codex: —, Qwen3.7 Max: 65.0 (#54)

BenchmarkGPT-5.3 CodexQwen3.7 Max
LMArena Text—1476
LMArena Creative Writing—1449
EQ-Bench 4—1110
LMArena Multi-Turn—1481

Frequently asked questions

Is GPT-5.3 Codex better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 45.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Codex or Qwen3.7 Max?

Qwen3.7 Max is cheaper. It lists at $2.50 per million input tokens and $7.50 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

Is GPT-5.3 Codex or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 400K.

How many benchmarks do GPT-5.3 Codex and Qwen3.7 Max share?

4 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen3.7 Max has 33.

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