Noometry

Model comparison

GPT-4.1 nano vs Qwen3.5-9B

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 27.9 on the Noometry Index.

Last verified . 7 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Qwen3.5-9B Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

  • They share 7 benchmarks with published results for both. GPT-4.1 nano scores higher in 1 category and Qwen3.5-9B in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 21.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 61.7% for Qwen3.5-9B.
  • Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.10 / $0.40 for GPT-4.1 nano.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 262K.
  • Qwen3.5-9B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoQwen3.5-9B
ProviderOpenAIAlibaba (Qwen)
Noometry Index27.933.8
Released2025-04-142026-02-23
WeightsProprietaryOpen
Context window1.05M262K
Max output33K66K
Input $ / M tokens$0.10$0.10
Output $ / M tokens$0.40$0.15
Results tracked3810

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Category by category

Coding Qwen3.5-9B leads

GPT-4.1 nano: 24.1 (#330), Qwen3.5-9B: 35.9 (#217)

BenchmarkGPT-4.1 nanoQwen3.5-9B
SciCode25.9%27.5%
Aider Polyglot8.9%—
WeirdML19%—
LMArena Coding1306—

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), Qwen3.5-9B: 14.5 (#151)

BenchmarkGPT-4.1 nanoQwen3.5-9B
Terminal-Bench—9.2%
Berkeley Function Calling Leaderboard33%—

Reasoning Qwen3.5-9B leads

GPT-4.1 nano: 8.5 (#349), Qwen3.5-9B: 23.1 (#182)

BenchmarkGPT-4.1 nanoQwen3.5-9B
CritPt0%0.3%
DTBench52.5%71.2%
LMCA5.5%24.5%
Epoch Capabilities Index129.62139.46
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
ARC-AGI-10%—
Chess Puzzles—12%
LMArena Hard Prompts1286—

Math Qwen3.5-9B leads

GPT-4.1 nano: 26.9 (#252), Qwen3.5-9B: 34.8 (#192)

BenchmarkGPT-4.1 nanoQwen3.5-9B
OTIS Mock AIME 2024-202528.9%61.7%
MathArena Final-Answer Competitions—48.5%
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Qwen3.5-9B leads

GPT-4.1 nano: 21.8 (#273), Qwen3.5-9B: 46.0 (#84)

BenchmarkGPT-4.1 nanoQwen3.5-9B
GPQA Diamond48.9%79%
SimpleQA Verified6%—
MMLU-Pro55%—
GPQA (HELM)50.7%—
LMArena Expert1272—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Qwen3.5-9B: —

BenchmarkGPT-4.1 nanoQwen3.5-9B
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.6 (#205), Qwen3.5-9B: —

BenchmarkGPT-4.1 nanoQwen3.5-9B
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1198—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 67.8 (#193), Qwen3.5-9B: —

BenchmarkGPT-4.1 nanoQwen3.5-9B
IFEval84.3%—
LMArena Instruction Following1267—

Long Context Not comparable

GPT-4.1 nano: 23.7 (#296), Qwen3.5-9B: —

BenchmarkGPT-4.1 nanoQwen3.5-9B
Fiction.LiveBench25%—
LMArena Longer Query1283—

Writing & Preference Not comparable

GPT-4.1 nano: 40.5 (#243), Qwen3.5-9B: —

BenchmarkGPT-4.1 nanoQwen3.5-9B
LMArena Text1285—
LMArena Creative Writing1260—
EQ-Bench Creative Writing946—
WildBench81.2%—
LMArena Multi-Turn1277—

Frequently asked questions

Is GPT-4.1 nano better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 27.9 on the Noometry Index.

Which is cheaper, GPT-4.1 nano or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; GPT-4.1 nano lists at $0.10 and $0.40.

Is GPT-4.1 nano or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 262K.

How many benchmarks do GPT-4.1 nano and Qwen3.5-9B share?

7 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Qwen3.5-9B has 10.

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