Model comparison

GPT-5.4 mini vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 45.0 on the Noometry Index. GPT-5.4 mini costs 2.2× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.

Last verified . 28 shared benchmarks.

GPT-5.4 mini OpenAI

45.0

Rank #76 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 28 benchmarks with published results for both. GPT-5.4 mini scores higher in 1 category and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.7 Max leads 49.2 to 30.4.
  • The biggest single-benchmark swing is SimpleQA Verified: 29.4% for GPT-5.4 mini and 55.8% for Qwen3.7 Max.
  • GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
  • Qwen3.7 Max accepts more context: 1M tokens versus 400K.

Side by side

GPT-5.4 mini and Qwen3.7 Max specifications
GPT-5.4 miniQwen3.7 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index45.051.5
Released2026-03-172026-05-19
WeightsProprietaryProprietary
Context window400K1M
Max output128K131K
Input $ / M tokens$0.75$2.50
Output $ / M tokens$4.50$7.50
Results tracked4633

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Category by category

Coding Qwen3.7 Max leads

GPT-5.4 mini: 45.2 (#72), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
LMArena WebDev13971515
SciCode49.9%48.8%
LMArena Coding14381498
ALE-Bench1,1891,189
SWE-bench Verified—77.3%
FrontierCode27%—
WeirdML60.3%—

Agentic & Tool Use GPT-5.4 mini leads

GPT-5.4 mini: 29.9 (#81), Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
DeepResearch Bench36.3%—
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

GPT-5.4 mini: 30.4 (#85), Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
NYT Connections (extended)61.8%85.1%
CritPt10%13.4%
Chess Puzzles24%19%
LMArena Hard Prompts14241483
Mystery Game Puzzles11%32%
DTBench80%92.3%
LMCA40.8%44%
Epoch Capabilities Index148.84153.68
ARC-AGI-218.9%—
SimpleBench—70.4%
Kagi LLM Benchmark37.9%—
ARC-AGI-163.7%—
Thematic Generalization61.7%—
EBR-Bench—9.5%
ForecastBench57—

Math Qwen3.7 Max leads

GPT-5.4 mini: 45.5 (#75), Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
FrontierMath (Tiers 1-3)51.2%64.6%
FrontierMath Tier 49.8%34.1%
OTIS Mock AIME 2024-202588.9%95.6%
ProofBench21%26%
LMArena Math14191490
FrontierMath (Feb 2025 set)28.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Qwen3.7 Max leads

GPT-5.4 mini: 51.5 (#67), Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
GPQA Diamond86.9%90.9%
SimpleQA Verified29.4%55.8%
LMArena Expert14351488
Vectara Hallucination Rate5.5%—

Multimodal Not comparable

GPT-5.4 mini: 39.7 (#56), Qwen3.7 Max: —

Multimodal benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
LMArena Vision1245—

Multilingual Qwen3.7 Max leads

GPT-5.4 mini: 51.9 (#96), Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
LMArena Non-English14051474
LMArena Chinese14461530
LMArena Russian14171484
LMArena French1440—
LMArena German1409—
LMArena Japanese1374—
LMArena Korean1368—
LMArena Spanish1405—

Instruction Following Qwen3.7 Max leads

GPT-5.4 mini: 74.1 (#102), Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
LMArena Instruction Following14051460

Long Context Qwen3.7 Max leads

GPT-5.4 mini: 43.0 (#112), Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
LMArena Longer Query14071482

Writing & Preference Too close to call

GPT-5.4 mini: 64.0 (#58), Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkGPT-5.4 miniQwen3.7 Max
LMArena Text14121476
LMArena Creative Writing13701449
LMArena Multi-Turn14291481
EQ-Bench Creative Writing1665—
EQ-Bench 4—1110

Frequently asked questions

Is GPT-5.4 mini better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 45.0 on the Noometry Index. GPT-5.4 mini costs 2.2× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.

Which is cheaper, GPT-5.4 mini or Qwen3.7 Max?

GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.

Is GPT-5.4 mini or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 45.2 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-5.4 mini and Qwen3.7 Max share?

28 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Qwen3.7 Max has 33.

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