Model comparison

Mistral Large vs Phi-3.5-mini

Mistral Large has enough public results to be ranked (#258); Phi-3.5-mini does not yet, so treat this comparison as directional.

Last verified . 2 shared benchmarks.

Mistral Large Mistral AI

31.6

Rank #258 Confirmed

Phi-3.5-mini Microsoft

36.4

Unranked Sparse

Summary

  • They share 2 benchmarks with published results for both. Mistral Large scores higher in 0 categories and Phi-3.5-mini in 1 category, but none of those gaps is larger than the uncertainty.

Side by side

Mistral Large and Phi-3.5-mini specifications
Mistral LargePhi-3.5-mini
ProviderMistral AIMicrosoft
Noometry Index31.636.4
Released2024-02-262024-08-16
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked515

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Category by category

Coding Too close to call

Mistral Large: 33.8 (#240), Phi-3.5-mini: 34.0 (#231)

Coding benchmarks
BenchmarkMistral LargePhi-3.5-mini
BigCodeBench Instruct30%32.8%
BigCodeBench Complete38.3%38.5%
SciCode36.2%—
LiveBench Coding47.1%—
LMArena Coding1277—
ALE-Bench264.7—
HumanEval+62.2%—
MBPP+59.5%—

Agentic & Tool Use Not comparable

Mistral Large: 28.4 (#83), Phi-3.5-mini: —

Agentic & Tool Use benchmarks
BenchmarkMistral LargePhi-3.5-mini
Berkeley Function Calling Leaderboard38.4%—

Reasoning Not comparable

Mistral Large: 15.4 (#305), Phi-3.5-mini: —

Reasoning benchmarks
BenchmarkMistral LargePhi-3.5-mini
SimpleBench22.5%—
CritPt0%—
LiveBench Reasoning43.5%—
LMArena Hard Prompts1257—
DTBench65.1%—
LiveBench Data Analysis50.1%—
LMCA16.7%—
Epoch Capabilities Index128.52—
ForecastBench57.1—
LiveBench48.4%—
PIQA—81%

Math Not comparable

Mistral Large: 17.1 (#285), Phi-3.5-mini: —

Math benchmarks
BenchmarkMistral LargePhi-3.5-mini
OTIS Mock AIME 2024-20258.5%—
Omni-MATH28.1%—
LiveBench Math42.5%—
LMArena Math1262—
MATH Level 550.3%—
FrontierMath (Feb 2025 set)0.3%—
GSM8K—86.2%

Knowledge Not comparable

Mistral Large: 30.0 (#224), Phi-3.5-mini: —

Knowledge benchmarks
BenchmarkMistral LargePhi-3.5-mini
GPQA Diamond51.3%—
MMLU-Pro59.9%—
Confabulations21.4%—
Vectara Hallucination Rate4.5%—
GPQA (HELM)43.5%—
LMArena Expert1232—
BoolQ—78%
MMLU80%—

Multilingual Not comparable

Mistral Large: 40.1 (#214), Phi-3.5-mini: —

Multilingual benchmarks
BenchmarkMistral LargePhi-3.5-mini
LMArena Non-English1237—
LMArena Chinese1240—
LMArena French1324—
LMArena German1254—
LMArena Japanese1187—
LMArena Korean1202—
LMArena Russian1257—
LMArena Spanish1268—

Instruction Following Not comparable

Mistral Large: 68.1 (#186), Phi-3.5-mini: —

Instruction Following benchmarks
BenchmarkMistral LargePhi-3.5-mini
LiveBench Instruction Following67.9%—
IFEval87.7%—
LMArena Instruction Following1249—

Long Context Not comparable

Mistral Large: 38.3 (#194), Phi-3.5-mini: —

Long Context benchmarks
BenchmarkMistral LargePhi-3.5-mini
LMArena Longer Query1262—

Writing & Preference Not comparable

Mistral Large: 40.9 (#237), Phi-3.5-mini: —

Writing & Preference benchmarks
BenchmarkMistral LargePhi-3.5-mini
LMArena Text1266—
LMArena Creative Writing1243—
Short-Story Creative Writing69%—
EQ-Bench Creative Writing985—
WildBench80.1%—
LMArena Multi-Turn1260—
LiveBench Language39.4%—

Frequently asked questions

Is Mistral Large better than Phi-3.5-mini?

Mistral Large has enough public results to be ranked (#258); Phi-3.5-mini does not yet, so treat this comparison as directional.

Is Mistral Large or Phi-3.5-mini better for coding?

They score almost the same on coding (33.8 vs 34.0); test both on your own repository before choosing.

How many benchmarks do Mistral Large and Phi-3.5-mini share?

2 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Phi-3.5-mini has 5.

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