Model comparison

GPT-4.1 nano vs Qwen3 14B

Qwen3 14B is the stronger model overall, scoring 35.5 to 27.9 on the Noometry Index. GPT-4.1 nano costs 3.5× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

Last verified . 10 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Qwen3 14B Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

  • They share 10 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Qwen3 14B in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 21.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 66.4% for Qwen3 14B.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 131K.
  • Qwen3 14B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nano and Qwen3 14B specifications
GPT-4.1 nanoQwen3 14B
ProviderOpenAIAlibaba (Qwen)
Noometry Index27.935.5
Released2025-04-142025-04
WeightsProprietaryOpen
Context window1.05M131K
Max output33K8K
Input $ / M tokens$0.10$0.35
Output $ / M tokens$0.40$1.40
Results tracked3812

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Category by category

Coding Qwen3 14B leads

GPT-4.1 nano: 24.1 (#330), Qwen3 14B: 37.3 (#195)

Coding benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
SciCode25.9%31.6%
Aider Polyglot8.9%—
WeirdML19%—
LMArena Coding1306—

Agentic & Tool Use Qwen3 14B leads

GPT-4.1 nano: 26.5 (#104), Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
Berkeley Function Calling Leaderboard33%41%

Reasoning Qwen3 14B leads

GPT-4.1 nano: 8.5 (#349), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
Kagi LLM Benchmark33.3%49.1%
CritPt0%0%
DTBench52.5%64%
LMCA5.5%18.2%
Epoch Capabilities Index129.62138.23
ARC-AGI-20%—
ARC-AGI-10%—
Chess Puzzles—4%
LMArena Hard Prompts1286—

Math Qwen3 14B leads

GPT-4.1 nano: 26.9 (#252), Qwen3 14B: 38.6 (#133)

Math benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
OTIS Mock AIME 2024-202528.9%66.4%
Omni-MATH36.7%—
LMArena Math1274—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Qwen3 14B leads

GPT-4.1 nano: 21.8 (#273), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
GPQA Diamond48.9%63.8%
SimpleQA Verified6%—
MMLU-Pro55%—
Vectara Hallucination Rate—5.4%
GPQA (HELM)50.7%—
LMArena Expert1272—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), Qwen3 14B: —

Multimodal benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
LMArena Vision1063—

Multilingual Not comparable

GPT-4.1 nano: 41.6 (#205), Qwen3 14B: —

Multilingual benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
LMArena Non-English1260—
LMArena Chinese1270—
LMArena German1288—
LMArena Japanese1198—
LMArena Russian1261—

Instruction Following Not comparable

GPT-4.1 nano: 67.8 (#193), Qwen3 14B: —

Instruction Following benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
IFEval84.3%—
LMArena Instruction Following1267—

Long Context Qwen3 14B leads

GPT-4.1 nano: 23.7 (#296), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
Fiction.LiveBench25%62.5%
LMArena Longer Query1283—

Writing & Preference Not comparable

GPT-4.1 nano: 40.5 (#243), Qwen3 14B: —

Writing & Preference benchmarks
BenchmarkGPT-4.1 nanoQwen3 14B
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 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 27.9 on the Noometry Index. GPT-4.1 nano costs 3.5× less per token, which makes it the better buy when Qwen3 14B's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or Qwen3 14B?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

Is GPT-4.1 nano or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 131K.

How many benchmarks do GPT-4.1 nano and Qwen3 14B share?

10 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Qwen3 14B has 12.

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