Model comparison

Mistral Small 3.2 vs Phi-4

Mistral Small 3.2 and Phi-4 score almost the same on the Noometry Index (31.2 vs 31.2), so choose on price, context window or the category you care about most.

Last verified . 4 shared benchmarks.

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Phi-4 Microsoft

31.2

Rank #279 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Mistral Small 3.2 scores higher in 3 categories and Phi-4 in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Phi-4 leads 32.6 to 26.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 13.8% for Phi-4.
  • Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.0938 / $0.25 for Mistral Small 3.2.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 128K.

Side by side

Mistral Small 3.2 and Phi-4 specifications
Mistral Small 3.2Phi-4
ProviderMistral AIMicrosoft
Noometry Index31.231.2
Released2025-06-202024-12-11
WeightsOpenOpen
Context window256K128K
Max output16K4K
Input $ / M tokens$0.0938$0.07
Output $ / M tokens$0.25$0.14
Results tracked637

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Phi-4: 34.4 (#239)

Coding benchmarks
BenchmarkMistral Small 3.2Phi-4
BigCodeBench Instruct—45.5%
LiveBench Coding—30.7%
LMArena Coding—1231
BigCodeBench Complete—55.4%

Agentic & Tool Use Not comparable

Mistral Small 3.2: —, Phi-4: 22.8 (#128)

Agentic & Tool Use benchmarks
BenchmarkMistral Small 3.2Phi-4
Berkeley Function Calling Leaderboard—28.8%
BALROG—11.6%

Reasoning Too close to call

Mistral Small 3.2: 18.1 (#287), Phi-4: 17.7 (#291)

Reasoning benchmarks
BenchmarkMistral Small 3.2Phi-4
Chess Puzzles1%1%
Epoch Capabilities Index131.74130.42
Kagi LLM Benchmark40.4%—
LiveBench Reasoning—47.8%
LMArena Hard Prompts—1220
LiveBench Data Analysis—45.2%
LiveBench—41.6%

Math Mistral Small 3.2 leads

Mistral Small 3.2: 26.3 (#260), Phi-4: 20.8 (#285)

Math benchmarks
BenchmarkMistral Small 3.2Phi-4
OTIS Mock AIME 2024-202530.3%13.8%
LiveBench Math—42%
LMArena Math—1246
MATH Level 5—64.9%

Knowledge Phi-4 leads

Mistral Small 3.2: 26.7 (#256), Phi-4: 32.6 (#209)

Knowledge benchmarks
BenchmarkMistral Small 3.2Phi-4
GPQA Diamond49.1%56.1%
Confabulations—29.4%
Vectara Hallucination Rate—3.7%
LMArena Expert—1203
MMLU—84.8%

Multilingual Not comparable

Mistral Small 3.2: —, Phi-4: 37.2 (#237)

Multilingual benchmarks
BenchmarkMistral Small 3.2Phi-4
LMArena Non-English—1197
LMArena Chinese—1212
LMArena French—1224
LMArena German—1222
LMArena Japanese—1158
LMArena Korean—1151
LMArena Russian—1209
LMArena Spanish—1234

Instruction Following Not comparable

Mistral Small 3.2: —, Phi-4: 60.4 (#251)

Instruction Following benchmarks
BenchmarkMistral Small 3.2Phi-4
LiveBench Instruction Following—58.4%
LMArena Instruction Following—1201

Long Context Not comparable

Mistral Small 3.2: —, Phi-4: 36.9 (#226)

Long Context benchmarks
BenchmarkMistral Small 3.2Phi-4
LMArena Longer Query—1217

Writing & Preference Mistral Small 3.2 leads

Mistral Small 3.2: 45.0 (#224), Phi-4: 40.5 (#244)

Writing & Preference benchmarks
BenchmarkMistral Small 3.2Phi-4
LMArena Text—1217
LMArena Creative Writing—1182
Short-Story Creative Writing—62.6%
EQ-Bench Creative Writing1255—
LMArena Multi-Turn—1206
LiveBench Language—25.6%

Frequently asked questions

Is Mistral Small 3.2 better than Phi-4?

Mistral Small 3.2 and Phi-4 score almost the same on the Noometry Index (31.2 vs 31.2), so choose on price, context window or the category you care about most.

Which is cheaper, Mistral Small 3.2 or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Mistral Small 3.2 lists at $0.0938 and $0.25.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 128K.

How many benchmarks do Mistral Small 3.2 and Phi-4 share?

4 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Phi-4 has 37.

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