Noometry

Model comparison

GPT-4.1 mini vs Qwen3.7 Flash

Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 33.6 on the Noometry Index.

Last verified . 6 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.9

Rank #156 Confirmed

Summary

  • They share 6 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.7 Flash leads 28.2 to 10.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 86.7% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-4.1 miniQwen3.7 Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.639.9
Released2025-04-142026-07-15
WeightsProprietaryProprietary
Context window1.05M1M
Max output33K131K
Input $ / M tokens$0.40$0.03
Output $ / M tokens$1.60$0.13
Results tracked477

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Category by category

Coding Not comparable

GPT-4.1 mini: 30.6 (#293), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
LMArena Coding1367—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
Berkeley Function Calling Leaderboard50.5%—

Reasoning Qwen3.7 Flash leads

GPT-4.1 mini: 10.8 (#340), Qwen3.7 Flash: 28.2 (#108)

BenchmarkGPT-4.1 miniQwen3.7 Flash
Chess Puzzles7%23%
Mystery Game Puzzles7%15%
Epoch Capabilities Index135.01144.64
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—43.8%
ARC-AGI-13.5%—
CritPt0%—
LMArena Hard Prompts1349—
DTBench68.8%—
LMCA21.1%—

Math Qwen3.7 Flash leads

GPT-4.1 mini: 24.1 (#270), Qwen3.7 Flash: 38.3 (#140)

BenchmarkGPT-4.1 miniQwen3.7 Flash
FrontierMath (Tiers 1-3)6.7%19.3%
OTIS Mock AIME 2024-202544.7%86.7%
Omni-MATH49.1%—
LMArena Math1343—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Qwen3.7 Flash leads

GPT-4.1 mini: 34.7 (#194), Qwen3.7 Flash: 48.9 (#75)

BenchmarkGPT-4.1 miniQwen3.7 Flash
GPQA Diamond65.8%82.3%
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
LMArena Expert1338—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
LMArena Vision1181—

Multilingual Not comparable

GPT-4.1 mini: 45.7 (#166), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
LMArena Non-English1318—
LMArena Chinese1329—
LMArena French1358—
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—
LMArena Russian1324—
LMArena Spanish1319—

Instruction Following Not comparable

GPT-4.1 mini: 73.7 (#118), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
IFEval90.4%—
LMArena Instruction Following1333—

Long Context Not comparable

GPT-4.1 mini: 31.8 (#275), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
Fiction.LiveBench44.4%—
LMArena Longer Query1344—

Writing & Preference Not comparable

GPT-4.1 mini: 48.6 (#199), Qwen3.7 Flash: —

BenchmarkGPT-4.1 miniQwen3.7 Flash
LMArena Text1340—
LMArena Creative Writing1300—
EQ-Bench Creative Writing1147—
WildBench83.8%—
LMArena Multi-Turn1354—

Frequently asked questions

Is GPT-4.1 mini better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 33.6 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 1M.

How many benchmarks do GPT-4.1 mini and Qwen3.7 Flash share?

6 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3.7 Flash has 7.

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