Noometry

Model comparison

GPT-4.1 nano vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 27.9 on the Noometry Index.

Last verified . 21 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 8.5.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 84.4% for Qwen3.5-Flash.
  • Both cost about the same: $0.10 input and $0.40 output per million tokens.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-4.1 nanoQwen3.5-Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index27.942.5
Released2025-04-142026-02-23
WeightsProprietaryProprietary
Context window1.05M1M
Max output33K66K
Input $ / M tokens$0.10$0.10
Output $ / M tokens$0.40$0.40
Results tracked3832

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen3.5-Flash leads

GPT-4.1 nano: 24.1 (#330), Qwen3.5-Flash: 34.2 (#242)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Coding13061412
Aider Polyglot8.9%—
LMArena WebDev—1244
SciCode25.9%—
WeirdML19%—
ALE-Bench—221.8

Agentic & Tool Use Not comparable

GPT-4.1 nano: 26.5 (#104), Qwen3.5-Flash: —

BenchmarkGPT-4.1 nanoQwen3.5-Flash
Berkeley Function Calling Leaderboard33%—
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

GPT-4.1 nano: 8.5 (#349), Qwen3.5-Flash: 33.7 (#72)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Hard Prompts12861403
DTBench52.5%82.9%
LMCA5.5%29.1%
Epoch Capabilities Index129.62143.98
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
CritPt0%—
Chess Puzzles—21%
Mystery Game Puzzles—20%

Math Qwen3.5-Flash leads

GPT-4.1 nano: 26.9 (#252), Qwen3.5-Flash: 37.4 (#158)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
OTIS Mock AIME 2024-202528.9%84.4%
LMArena Math12741407
FrontierMath (Feb 2025 set)1%6.2%
FrontierMath (Tiers 1-3)—18.2%
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

GPT-4.1 nano: 21.8 (#273), Qwen3.5-Flash: 43.2 (#93)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
GPQA Diamond48.9%82.3%
SimpleQA Verified6%20.3%
LMArena Expert12721407
MMLU-Pro55%—
Vectara Hallucination Rate—10.5%
GPQA (HELM)50.7%—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Qwen3.5-Flash: —

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Vision1063—

Multilingual Qwen3.5-Flash leads

GPT-4.1 nano: 41.6 (#205), Qwen3.5-Flash: 50.5 (#121)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Non-English12601385
LMArena Chinese12701446
LMArena German12881390
LMArena Japanese11981368
LMArena Russian12611379
LMArena French—1412
LMArena Korean—1344
LMArena Spanish—1400

Instruction Following Qwen3.5-Flash leads

GPT-4.1 nano: 67.8 (#193), Qwen3.5-Flash: 72.6 (#139)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Instruction Following12671374
IFEval84.3%—

Long Context Qwen3.5-Flash leads

GPT-4.1 nano: 23.7 (#296), Qwen3.5-Flash: 42.4 (#124)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Longer Query12831392
Fiction.LiveBench25%—

Writing & Preference Qwen3.5-Flash leads

GPT-4.1 nano: 40.5 (#243), Qwen3.5-Flash: 57.9 (#122)

BenchmarkGPT-4.1 nanoQwen3.5-Flash
LMArena Text12851397
LMArena Creative Writing12601343
LMArena Multi-Turn12771393
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

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

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 27.9 on the Noometry Index.

Which is cheaper, GPT-4.1 nano 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 nano lists at $0.10 and $0.40.

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

Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GPT-4.1 nano and Qwen3.5-Flash share?

21 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Qwen3.5-Flash has 32.

Related comparisons

Go deeper