Model comparison

GPT-3.5-turbo vs phi-3-medium 14B

phi-3-medium 14B is the stronger model overall, scoring 29.1 to 23.1 on the Noometry Index.

Last verified . 12 shared benchmarks.

GPT-3.5-turbo OpenAI

23.1

Rank #345 Confirmed

phi-3-medium 14B Microsoft

29.1

Rank #306 Reported

Summary

  • They share 12 benchmarks with published results for both. GPT-3.5-turbo scores higher in 1 category and phi-3-medium 14B in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where phi-3-medium 14B leads 25.2 to 6.0.
  • phi-3-medium 14B has downloadable open weights; the other is API-only.

Side by side

GPT-3.5-turbo and phi-3-medium 14B specifications
GPT-3.5-turbophi-3-medium 14B
ProviderOpenAIMicrosoft
Noometry Index23.129.1
Released2023-03-012024-04-23
WeightsProprietaryOpen
Context window16K—
Max output4K—
Input $ / M tokens$0.50—
Output $ / M tokens$1.50—
Results tracked4413

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Category by category

Coding phi-3-medium 14B leads

GPT-3.5-turbo: 23.5 (#326), phi-3-medium 14B: 36.3 (#198)

Coding benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
BigCodeBench Instruct39.1%37.6%
BigCodeBench Complete50.6%48.7%
WeirdML3.5%—
LMArena Coding1137—
HumanEval+70.7%—
MBPP+69.7%—

Agentic & Tool Use Not comparable

GPT-3.5-turbo: —, phi-3-medium 14B: —

Agentic & Tool Use benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
METR Time Horizons21.5%—

Reasoning Not comparable

GPT-3.5-turbo: 13.3 (#328), phi-3-medium 14B: —

Reasoning benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
Adversarial NLI58.1%55.8%
BIG-Bench Hard61.6%81.4%
Epoch Capabilities Index118.48121.18
WinoGrande81.6%81.5%
Chess Puzzles0%—
LMArena Hard Prompts1108—
Mystery Game Puzzles3%—
DTBench48.5%—
LMCA9.7%—
CommonsenseQA 2.057%—
ForecastBench50.4—
HellaSwag—82.4%

Math phi-3-medium 14B leads

GPT-3.5-turbo: 6.0 (#321), phi-3-medium 14B: 25.2 (#249)

Math benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
MATH Level 515.9%17.6%
FrontierMath (Tiers 1-3)0%—
OTIS Mock AIME 2024-20252.2%—
LMArena Math1142—
GSM8K57.8%—

Knowledge Too close to call

GPT-3.5-turbo: 10.0 (#298), phi-3-medium 14B: 9.1 (#301)

Knowledge benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
GPQA Diamond28%27.6%
ARC (AI2) Challenge87.4%91.6%
MMLU71.4%78%
OpenBookQA86%87.4%
TriviaQA85.8%73.9%
LMArena Expert1070—
BoolQ87%—

Multilingual Not comparable

GPT-3.5-turbo: 31.6 (#253), phi-3-medium 14B: —

Multilingual benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
LMArena Non-English1108—
LMArena Chinese1075—
LMArena French1117—
LMArena German1090—
LMArena Japanese1043—
LMArena Korean1019—
LMArena Russian1123—
LMArena Spanish1120—

Instruction Following Not comparable

GPT-3.5-turbo: 58.1 (#257), phi-3-medium 14B: —

Instruction Following benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
LMArena Instruction Following1119—

Long Context Not comparable

GPT-3.5-turbo: 34.0 (#249), phi-3-medium 14B: —

Long Context benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
LMArena Longer Query1121—

Writing & Preference Not comparable

GPT-3.5-turbo: 25.4 (#300), phi-3-medium 14B: —

Writing & Preference benchmarks
BenchmarkGPT-3.5-turbophi-3-medium 14B
LMArena Text1125—
LMArena Creative Writing1092—
EQ-Bench Creative Writing451—
LMArena Multi-Turn1117—

Frequently asked questions

Is GPT-3.5-turbo better than phi-3-medium 14B?

phi-3-medium 14B is the stronger model overall, scoring 29.1 to 23.1 on the Noometry Index.

Is GPT-3.5-turbo or phi-3-medium 14B better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 23.5 in the Noometry coding category.

How many benchmarks do GPT-3.5-turbo and phi-3-medium 14B share?

12 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and phi-3-medium 14B has 13.

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