Noometry

Model comparison

GPT-4o mini vs Qwen1.5-7B

Qwen1.5-7B is the stronger model overall, scoring 31.4 to 25.5 on the Noometry Index.

Last verified . 13 shared benchmarks.

GPT-4o mini OpenAI

25.5

Rank #343 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GPT-4o mini scores higher in 4 categories and Qwen1.5-7B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen1.5-7B leads 31.4 to 10.4.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

GPT-4o miniQwen1.5-7B
ProviderOpenAIAlibaba (Qwen)
Noometry Index25.531.4
Released2024-07-182024-02-04
WeightsProprietaryOpen
Context window128K—
Max output16K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked6013

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Category by category

Coding Qwen1.5-7B leads

GPT-4o mini: 22.0 (#335), Qwen1.5-7B: 32.2 (#276)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Coding12901107
Aider Polyglot3.6%—
WeirdML11.8%—
BigCodeBench Instruct46.1%—
LiveBench Coding43.1%—
BigCodeBench Complete57.4%—
HumanEval+83.5%—
MBPP+72.2%—

Agentic & Tool Use Not comparable

GPT-4o mini: 27.5 (#101), Qwen1.5-7B: —

BenchmarkGPT-4o miniQwen1.5-7B
BALROG17.4%—

Reasoning Qwen1.5-7B leads

GPT-4o mini: 8.7 (#347), Qwen1.5-7B: 20.4 (#240)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Hard Prompts12671065
ARC-AGI-20%—
SimpleBench10.7%—
Kagi LLM Benchmark28.8%—
Chess Puzzles0%—
LiveBench Reasoning32.8%—
Mystery Game Puzzles12%—
DTBench54.4%—
LiveBench Data Analysis50%—
LMCA10.4%—
Epoch Capabilities Index126.56—
LiveBench41.3%—
PIQA88.7%—

Math Qwen1.5-7B leads

GPT-4o mini: 10.4 (#314), Qwen1.5-7B: 31.4 (#224)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Math12671080
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.9%—
Omni-MATH28%—
LiveBench Math36.3%—
MATH Level 552.6%—
GSM8K91.3%—

Knowledge Qwen1.5-7B leads

GPT-4o mini: 17.7 (#284), Qwen1.5-7B: 28.7 (#243)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Expert12351055
MMLU81.8%62.6%
GPQA Diamond37.7%—
SimpleQA Verified8.3%—
MMLU-Pro60.3%—
Confabulations37.2%—
GPQA (HELM)36.8%—
BoolQ88.7%—

Multimodal Not comparable

GPT-4o mini: 25.9 (#122), Qwen1.5-7B: —

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Vision1066—
Video-MME64.8%—
GeoBench64%—
VPCT34%—

Multilingual GPT-4o mini leads

GPT-4o mini: 42.0 (#199), Qwen1.5-7B: 28.5 (#271)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Non-English12661058
LMArena Chinese12651141
LMArena Russian12751006
LMArena French1297—
LMArena German1272—
LMArena Japanese1216—
LMArena Korean1195—
LMArena Spanish1276—

Instruction Following GPT-4o mini leads

GPT-4o mini: 61.9 (#239), Qwen1.5-7B: 54.1 (#281)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Instruction Following12581058
LiveBench Instruction Following56.8%—
IFEval78.2%—

Long Context GPT-4o mini leads

GPT-4o mini: 39.1 (#186), Qwen1.5-7B: 33.1 (#266)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Longer Query12891090

Writing & Preference GPT-4o mini leads

GPT-4o mini: 39.5 (#248), Qwen1.5-7B: 29.6 (#293)

BenchmarkGPT-4o miniQwen1.5-7B
LMArena Text12861083
LMArena Creative Writing12681035
LMArena Multi-Turn12851062
Short-Story Creative Writing67.2%—
EQ-Bench Creative Writing873—
WildBench79.1%—
LiveBench Language28.6%—

Frequently asked questions

Is GPT-4o mini better than Qwen1.5-7B?

Qwen1.5-7B is the stronger model overall, scoring 31.4 to 25.5 on the Noometry Index.

Is GPT-4o mini or Qwen1.5-7B better for coding?

Qwen1.5-7B scores higher on coding benchmarks: 32.2 versus 22.0 in the Noometry coding category.

How many benchmarks do GPT-4o mini and Qwen1.5-7B share?

13 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Qwen1.5-7B has 13.

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