Model comparison

Phi-3.5-mini vs Qwen2.5-Coder-32B

Qwen2.5-Coder-32B has enough public results to be ranked (#245); Phi-3.5-mini does not yet, so treat this comparison as directional.

Last verified . 3 shared benchmarks.

Phi-3.5-mini Microsoft

36.9

Unranked Sparse

Qwen2.5-Coder-32B Alibaba (Qwen)

33.4

Rank #245 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Phi-3.5-mini scores higher in 1 category and Qwen2.5-Coder-32B in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Phi-3.5-mini leads 34.6 to 22.6.
  • The biggest single-benchmark swing is BigCodeBench Complete: 38.5% for Phi-3.5-mini and 58% for Qwen2.5-Coder-32B.

Side by side

Phi-3.5-mini and Qwen2.5-Coder-32B specifications
Phi-3.5-miniQwen2.5-Coder-32B
ProviderMicrosoftAlibaba (Qwen)
Noometry Index36.933.4
Released2024-08-162024-09-18
WeightsOpenOpen
Context window—33K
Max output—29K
Input $ / M tokens—$0.66
Output $ / M tokens—$1
Results tracked531

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Phi-3.5-mini leads

Phi-3.5-mini: 34.6 (#232), Qwen2.5-Coder-32B: 22.6 (#333)

Coding benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
BigCodeBench Instruct32.8%49%
BigCodeBench Complete38.5%58%
SWE-bench Verified (bash only)—9%
Aider Polyglot—16.4%
LiveBench Coding—56.9%
LMArena Coding—1276
HumanEval+—87.2%
MBPP+—77%

Reasoning Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 21.2 (#225)

Reasoning benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
LiveBench Reasoning—42.1%
LMArena Hard Prompts—1251
LiveBench Data Analysis—49.9%
Epoch Capabilities Index—119.49
HellaSwag—83%
LiveBench—46.2%
PIQA81%—
WinoGrande—80.8%

Math Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 33.3 (#204)

Math benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
GSM8K86.2%93%
LiveBench Math—46.6%
LMArena Math—1251

Knowledge Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 33.4 (#203)

Knowledge benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
LMArena Expert—1221
ARC (AI2) Challenge—70.5%
BoolQ78%—
MMLU—79.1%

Multilingual Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 37.8 (#235)

Multilingual benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
LMArena Non-English—1205
LMArena Chinese—1222
LMArena Russian—1228

Instruction Following Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 61.4 (#245)

Instruction Following benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
LiveBench Instruction Following—58.7%
LMArena Instruction Following—1223

Long Context Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 38.0 (#208)

Long Context benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
LMArena Longer Query—1251

Writing & Preference Not comparable

Phi-3.5-mini: —, Qwen2.5-Coder-32B: 41.6 (#240)

Writing & Preference benchmarks
BenchmarkPhi-3.5-miniQwen2.5-Coder-32B
LMArena Text—1230
LMArena Creative Writing—1174
LMArena Multi-Turn—1222
LiveBench Language—23.3%

Frequently asked questions

Is Phi-3.5-mini better than Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B has enough public results to be ranked (#245); Phi-3.5-mini does not yet, so treat this comparison as directional.

Is Phi-3.5-mini or Qwen2.5-Coder-32B better for coding?

Phi-3.5-mini scores higher on coding benchmarks: 34.6 versus 22.6 in the Noometry coding category.

How many benchmarks do Phi-3.5-mini and Qwen2.5-Coder-32B share?

3 benchmarks have published results for both models. Phi-3.5-mini has 5 scored results on Noometry and Qwen2.5-Coder-32B has 31.

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