Noometry

Model comparison

GPT-4.1 mini vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 33.5 on the Noometry Index.

Last verified . 27 shared benchmarks.

GPT-4.1 mini OpenAI

33.5

Rank #232 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.3

Rank #105 Confirmed

Summary

  • They share 27 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Qwen3.5-Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5-Flash leads 32.9 to 10.9.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 44.7% for GPT-4.1 mini and 84.4% for Qwen3.5-Flash.
  • Qwen3.5-Flash is cheaper at $0.10 / $0.40 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 miniQwen3.5-Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.542.3
Released2025-04-142026-02-23
WeightsProprietaryProprietary
Context window1.05M1M
Max output33K66K
Input $ / M tokens$0.40$0.10
Output $ / M tokens$1.60$0.40
Results tracked4732

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Category by category

Coding Qwen3.5-Flash leads

GPT-4.1 mini: 30.4 (#286), Qwen3.5-Flash: 33.9 (#234)

BenchmarkGPT-4.1 miniQwen3.5-Flash
LMArena Coding13671412
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1243
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—
ALE-Bench—221.8

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.0 (#52), Qwen3.5-Flash: —

BenchmarkGPT-4.1 miniQwen3.5-Flash
Berkeley Function Calling Leaderboard50.5%—
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

GPT-4.1 mini: 10.9 (#335), Qwen3.5-Flash: 32.9 (#63)

BenchmarkGPT-4.1 miniQwen3.5-Flash
Chess Puzzles7%21%
LMArena Hard Prompts13491404
Mystery Game Puzzles7%20%
DTBench68.8%82.9%
LMCA21.1%29.1%
Epoch Capabilities Index135.01143.98
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—

Math Qwen3.5-Flash leads

GPT-4.1 mini: 23.1 (#264), Qwen3.5-Flash: 36.3 (#117)

BenchmarkGPT-4.1 miniQwen3.5-Flash
FrontierMath (Tiers 1-3)6.7%18.2%
OTIS Mock AIME 2024-202544.7%84.4%
LMArena Math13431407
FrontierMath (Feb 2025 set)4.5%6.2%
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

GPT-4.1 mini: 34.7 (#183), Qwen3.5-Flash: 43.2 (#84)

BenchmarkGPT-4.1 miniQwen3.5-Flash
GPQA Diamond65.8%82.3%
SimpleQA Verified12.7%20.3%
LMArena Expert13381408
MMLU-Pro78.3%—
Vectara Hallucination Rate—10.5%
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.2 (#77), Qwen3.5-Flash: —

BenchmarkGPT-4.1 miniQwen3.5-Flash
LMArena Vision1181—

Multilingual Qwen3.5-Flash leads

GPT-4.1 mini: 45.9 (#161), Qwen3.5-Flash: 50.7 (#116)

BenchmarkGPT-4.1 miniQwen3.5-Flash
LMArena Non-English13181385
LMArena Chinese13291446
LMArena French13571412
LMArena German13491389
LMArena Japanese12911369
LMArena Korean12981344
LMArena Russian13241379
LMArena Spanish13191399

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.9 (#113), Qwen3.5-Flash: 72.8 (#133)

BenchmarkGPT-4.1 miniQwen3.5-Flash
LMArena Instruction Following13321374
IFEval90.4%—

Long Context Qwen3.5-Flash leads

GPT-4.1 mini: 31.8 (#270), Qwen3.5-Flash: 42.4 (#119)

BenchmarkGPT-4.1 miniQwen3.5-Flash
LMArena Longer Query13441392
Fiction.LiveBench44.4%—

Writing & Preference Qwen3.5-Flash leads

GPT-4.1 mini: 48.8 (#193), Qwen3.5-Flash: 58.2 (#117)

BenchmarkGPT-4.1 miniQwen3.5-Flash
LMArena Text13411397
LMArena Creative Writing13001343
LMArena Multi-Turn13541393
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 33.5 on the Noometry Index.

Which is cheaper, GPT-4.1 mini or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.

Is GPT-4.1 mini or Qwen3.5-Flash better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 33.9 versus 30.4 in the Noometry coding category.

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 Qwen3.5-Flash share?

27 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Qwen3.5-Flash has 32.

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