Noometry

Model comparison

GPT-5 Nano vs Qwen1.5-7B

GPT-5 Nano is the stronger model overall, scoring 33.5 to 31.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-5 Nano OpenAI

33.5

Rank #241 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GPT-5 Nano scores higher in 5 categories and Qwen1.5-7B in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where GPT-5 Nano leads 75.0 to 54.1.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

GPT-5 NanoQwen1.5-7B
ProviderOpenAIAlibaba (Qwen)
Noometry Index33.531.4
Released2025-08-072024-02-04
WeightsProprietaryOpen
Context window400K—
Max output128K—
Input $ / M tokens$0.05—
Output $ / M tokens$0.40—
Results tracked4913

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Category by category

Coding GPT-5 Nano leads

GPT-5 Nano: 33.6 (#254), Qwen1.5-7B: 32.2 (#276)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Coding13511107
SWE-bench Verified (bash only)34.8%—
WeirdML38.1%—
ALE-Bench718.67—

Agentic & Tool Use Not comparable

GPT-5 Nano: 25.8 (#106), Qwen1.5-7B: —

BenchmarkGPT-5 NanoQwen1.5-7B
Terminal-Bench21.8%—
Berkeley Function Calling Leaderboard51.5%—

Reasoning Qwen1.5-7B leads

GPT-5 Nano: 16.3 (#306), Qwen1.5-7B: 20.4 (#240)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Hard Prompts13281065
ARC-AGI-22.6%—
Kagi LLM Benchmark62.2%—
ARC-AGI-120.7%—
Chess Puzzles27%—
Mystery Game Puzzles9%—
DTBench62.7%—
LMCA7.9%—
Epoch Capabilities Index139.38—
ForecastBench59.1—

Math Qwen1.5-7B leads

GPT-5 Nano: 29.4 (#241), Qwen1.5-7B: 31.4 (#224)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Math13171080
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 GPT-5 Nano leads

GPT-5 Nano: 35.9 (#178), Qwen1.5-7B: 28.7 (#243)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Expert13211055
GPQA Diamond69.4%—
SimpleQA Verified11.7%—
MMLU-Pro77.8%—
Vectara Hallucination Rate10.5%—
GPQA (HELM)67.9%—
MMLU—62.6%

Multimodal Not comparable

GPT-5 Nano: 31.3 (#108), Qwen1.5-7B: —

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Vision1159—
VPCT37.2%—

Multilingual GPT-5 Nano leads

GPT-5 Nano: 45.3 (#172), Qwen1.5-7B: 28.5 (#271)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Non-English13131058
LMArena Chinese13561141
LMArena Russian12961006
LMArena German1327—
LMArena Japanese1226—
LMArena Korean1269—
LMArena Spanish1360—

Instruction Following GPT-5 Nano leads

GPT-5 Nano: 75.0 (#79), Qwen1.5-7B: 54.1 (#281)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Instruction Following13061058
IFEval93.2%—

Long Context Qwen1.5-7B leads

GPT-5 Nano: 31.3 (#281), Qwen1.5-7B: 33.1 (#266)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Longer Query13121090
Fiction.LiveBench44.4%—

Writing & Preference GPT-5 Nano leads

GPT-5 Nano: 39.1 (#249), Qwen1.5-7B: 29.6 (#293)

BenchmarkGPT-5 NanoQwen1.5-7B
LMArena Text13201083
LMArena Creative Writing12491035
LMArena Multi-Turn13111062
EQ-Bench Creative Writing705—
WildBench80.6%—

Frequently asked questions

Is GPT-5 Nano better than Qwen1.5-7B?

GPT-5 Nano is the stronger model overall, scoring 33.5 to 31.4 on the Noometry Index.

Is GPT-5 Nano or Qwen1.5-7B better for coding?

GPT-5 Nano scores higher on coding benchmarks: 33.6 versus 32.2 in the Noometry coding category.

How many benchmarks do GPT-5 Nano and Qwen1.5-7B share?

12 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Qwen1.5-7B has 13.

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