Model comparison

phi-3-medium 14B vs QwQ-32B

QwQ-32B is the stronger model overall, scoring 39.8 to 29.7 on the Noometry Index.

Last verified . 4 shared benchmarks.

phi-3-medium 14B Microsoft

29.7

Rank #306 Reported

QwQ-32B Alibaba (Qwen)

39.8

Rank #159 Confirmed

Summary

  • They share 4 benchmarks with published results for both. phi-3-medium 14B scores higher in 1 category and QwQ-32B in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where QwQ-32B leads 37.2 to 9.1.
  • The biggest single-benchmark swing is GPQA Diamond: 27.6% for phi-3-medium 14B and 65.3% for QwQ-32B.

Side by side

phi-3-medium 14B and QwQ-32B specifications
phi-3-medium 14BQwQ-32B
ProviderMicrosoftAlibaba (Qwen)
Noometry Index29.739.8
Released2024-04-232024-11-28
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1336

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Category by category

Coding phi-3-medium 14B leads

phi-3-medium 14B: 36.8 (#201), QwQ-32B: 35.4 (#226)

Coding benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
BigCodeBench Instruct37.6%44.6%
BigCodeBench Complete48.7%54.4%
Aider Polyglot—20.9%
LiveBench Coding—72.2%
LMArena Coding—1333

Reasoning Not comparable

phi-3-medium 14B: —, QwQ-32B: 23.7 (#174)

Reasoning benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
Epoch Capabilities Index121.23137.6
Chess Puzzles—5%
LiveBench Reasoning—83.5%
LMArena Hard Prompts—1325
LiveBench Data Analysis—65%
Adversarial NLI55.8%—
BIG-Bench Hard81.4%—
ForecastBench—58.3
HellaSwag82.4%—
LiveBench—72%
WinoGrande81.5%—

Math QwQ-32B leads

phi-3-medium 14B: 27.3 (#250), QwQ-32B: 38.0 (#143)

Math benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
OTIS Mock AIME 2024-2025—59.2%
LiveBench Math—77.8%
LMArena Math—1359
MATH Level 517.6%—

Knowledge QwQ-32B leads

phi-3-medium 14B: 9.1 (#306), QwQ-32B: 37.2 (#158)

Knowledge benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
GPQA Diamond27.6%65.3%
Confabulations—15.6%
LMArena Expert—1324
ARC (AI2) Challenge91.6%—
MMLU78%—
OpenBookQA87.4%—
TriviaQA73.9%—

Multilingual Not comparable

phi-3-medium 14B: —, QwQ-32B: 44.8 (#176)

Multilingual benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
LMArena Non-English—1305
LMArena Chinese—1378
LMArena French—1336
LMArena German—1313
LMArena Japanese—1262
LMArena Korean—1279
LMArena Russian—1297
LMArena Spanish—1354

Instruction Following Not comparable

phi-3-medium 14B: —, QwQ-32B: 72.6 (#137)

Instruction Following benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
LiveBench Instruction Following—81.8%
LMArena Instruction Following—1297

Long Context Not comparable

phi-3-medium 14B: —, QwQ-32B: 49.0 (#11)

Long Context benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
Fiction.LiveBench—83.3%
LMArena Longer Query—1308

Writing & Preference Not comparable

phi-3-medium 14B: —, QwQ-32B: 50.6 (#180)

Writing & Preference benchmarks
Benchmarkphi-3-medium 14BQwQ-32B
LMArena Text—1329
LMArena Creative Writing—1288
Short-Story Creative Writing—80.2%
EQ-Bench Creative Writing—1257
LMArena Multi-Turn—1314
LiveBench Language—51.4%

Frequently asked questions

Is phi-3-medium 14B better than QwQ-32B?

QwQ-32B is the stronger model overall, scoring 39.8 to 29.7 on the Noometry Index.

Is phi-3-medium 14B or QwQ-32B better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 35.4 in the Noometry coding category.

How many benchmarks do phi-3-medium 14B and QwQ-32B share?

4 benchmarks have published results for both models. phi-3-medium 14B has 13 scored results on Noometry and QwQ-32B has 36.

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