Noometry

Model comparison

GPT-5 Nano vs Qwen3-Coder 480B-A35B Instruct

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 33.5 on the Noometry Index. GPT-5 Nano costs 22× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

GPT-5 Nano OpenAI

33.5

Rank #241 Confirmed

Qwen3-Coder 480B-A35B Instruct Alibaba (Qwen)

38.1

Rank #190 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-5 Nano scores higher in 2 categories and Qwen3-Coder 480B-A35B Instruct in 7 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.3 to 39.1.
  • The biggest single-benchmark swing is SWE-bench Verified (bash only): 34.8% for GPT-5 Nano and 55.4% for Qwen3-Coder 480B-A35B Instruct.
  • GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
  • GPT-5 Nano accepts more context: 400K tokens versus 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5 NanoQwen3-Coder 480B-A35B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.538.1
Released2025-08-072025-04
WeightsProprietaryOpen
Context window400K262K
Max output128K66K
Input $ / M tokens$0.05$1.50
Output $ / M tokens$0.40$7.50
Results tracked4925

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Category by category

Coding Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 33.6 (#254), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
SWE-bench Verified (bash only)34.8%55.4%
WeirdML38.1%41.2%
LMArena Coding13511412
ALE-Bench718.67461.45
LMArena WebDev—1275
GSO—4.9%
AlgoTune—1.44

Agentic & Tool Use GPT-5 Nano leads

GPT-5 Nano: 25.8 (#106), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
Terminal-Bench21.8%27.2%
Berkeley Function Calling Leaderboard51.5%—

Reasoning Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 16.3 (#306), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark62.2%49.5%
LMArena Hard Prompts13281372
ARC-AGI-22.6%—
ARC-AGI-120.7%—
Chess Puzzles27%—
Mystery Game Puzzles9%—
DTBench62.7%—
LMCA7.9%—
Epoch Capabilities Index139.38—
ForecastBench59.1—

Math Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 29.4 (#241), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Math13171365
FrontierMath (Tiers 1-3)20%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202581.1%—
ProofBench12%—
Omni-MATH54.6%—
MATH Level 595.2%—
FrontierMath (Feb 2025 set)8.3%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 35.9 (#178), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Expert13211338
GPQA Diamond69.4%—
SimpleQA Verified11.7%—
MMLU-Pro77.8%—
Vectara Hallucination Rate10.5%—
GPQA (HELM)67.9%—

Multimodal Not comparable

GPT-5 Nano: 31.3 (#108), Qwen3-Coder 480B-A35B Instruct: —

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Vision1159—
VPCT37.2%—

Multilingual Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 45.3 (#172), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Non-English13131346
LMArena Chinese13561357
LMArena German13271325
LMArena Japanese12261310
LMArena Korean12691305
LMArena Russian12961366
LMArena Spanish13601360
LMArena French—1398

Instruction Following GPT-5 Nano leads

GPT-5 Nano: 75.0 (#79), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Instruction Following13061355
IFEval93.2%—

Long Context Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 31.3 (#281), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Longer Query13121378
Fiction.LiveBench44.4%—

Writing & Preference Qwen3-Coder 480B-A35B Instruct leads

GPT-5 Nano: 39.1 (#249), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

BenchmarkGPT-5 NanoQwen3-Coder 480B-A35B Instruct
LMArena Text13201357
LMArena Creative Writing12491333
LMArena Multi-Turn13111365
EQ-Bench Creative Writing705—
WildBench80.6%—

Frequently asked questions

Is GPT-5 Nano better than Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 33.5 on the Noometry Index. GPT-5 Nano costs 22× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.

Which is cheaper, GPT-5 Nano or Qwen3-Coder 480B-A35B Instruct?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.

Is GPT-5 Nano or Qwen3-Coder 480B-A35B Instruct better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 33.6 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Nano does, with 400K tokens against 262K.

How many benchmarks do GPT-5 Nano and Qwen3-Coder 480B-A35B Instruct share?

21 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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