Model comparison

Mixtral 8x22B vs Phi-3.5-mini

Mixtral 8x22B has enough public results to be ranked (#333); Phi-3.5-mini does not yet, so treat this comparison as directional.

Last verified . 2 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Phi-3.5-mini Microsoft

36.9

Unranked Sparse

Summary

  • They share 2 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Phi-3.5-mini in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Phi-3.5-mini leads 34.6 to 24.2.
  • The biggest single-benchmark swing is BigCodeBench Complete: 50.2% for Mixtral 8x22B and 38.5% for Phi-3.5-mini.

Side by side

Mixtral 8x22B and Phi-3.5-mini specifications
Mixtral 8x22BPhi-3.5-mini
ProviderMistral AIMicrosoft
Noometry Index27.136.9
Released2024-04-172024-08-16
WeightsOpenOpen
Context window64K—
Max output64K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked345

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

Category by category

Coding Phi-3.5-mini leads

Mixtral 8x22B: 24.2 (#329), Phi-3.5-mini: 34.6 (#232)

Coding benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
BigCodeBench Instruct40.6%32.8%
BigCodeBench Complete50.2%38.5%
WeirdML3.2%—
LMArena Coding1166—
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 23.1 (#127), Phi-3.5-mini: —

Agentic & Tool Use benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
Cybench7.5%—

Reasoning Not comparable

Mixtral 8x22B: 19.9 (#248), Phi-3.5-mini: —

Reasoning benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
LMArena Hard Prompts1150—
DTBench55.1%—
Epoch Capabilities Index122.03—
ForecastBench56.3—
PIQA—81%

Math Not comparable

Mixtral 8x22B: 22.9 (#275), Phi-3.5-mini: —

Math benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
Omni-MATH16.3%—
LMArena Math1184—
MATH Level 524.2%—
GSM8K—86.2%

Knowledge Not comparable

Mixtral 8x22B: 15.1 (#293), Phi-3.5-mini: —

Knowledge benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
GPQA Diamond34.1%—
MMLU-Pro46%—
GPQA (HELM)33.4%—
LMArena Expert1113—
BoolQ—78%
MMLU77.8%—

Multilingual Not comparable

Mixtral 8x22B: 32.8 (#255), Phi-3.5-mini: —

Multilingual benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
LMArena Non-English1128—
LMArena Chinese1116—
LMArena French1166—
LMArena German1141—
LMArena Japanese1037—
LMArena Korean1057—
LMArena Russian1158—
LMArena Spanish1151—

Instruction Following Not comparable

Mixtral 8x22B: 57.7 (#266), Phi-3.5-mini: —

Instruction Following benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
IFEval72.4%—
LMArena Instruction Following1147—

Long Context Not comparable

Mixtral 8x22B: 34.7 (#247), Phi-3.5-mini: —

Long Context benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
LMArena Longer Query1144—

Writing & Preference Not comparable

Mixtral 8x22B: 36.9 (#262), Phi-3.5-mini: —

Writing & Preference benchmarks
BenchmarkMixtral 8x22BPhi-3.5-mini
LMArena Text1162—
LMArena Creative Writing1141—
WildBench71.1%—
LMArena Multi-Turn1130—

Frequently asked questions

Is Mixtral 8x22B better than Phi-3.5-mini?

Mixtral 8x22B has enough public results to be ranked (#333); Phi-3.5-mini does not yet, so treat this comparison as directional.

Is Mixtral 8x22B or Phi-3.5-mini better for coding?

Phi-3.5-mini scores higher on coding benchmarks: 34.6 versus 24.2 in the Noometry coding category.

How many benchmarks do Mixtral 8x22B and Phi-3.5-mini share?

2 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Phi-3.5-mini has 5.

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