Model comparison

Mistral Medium 3.5 vs Phi-4 Mini

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 30.4 on the Noometry Index. Phi-4 Mini costs 23× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Mistral Medium 3.5 Mistral AI

39.6

Rank #151 Confirmed

Phi-4 Mini Microsoft

30.4

Rank #280 Reported

Summary

  • The widest gap is in knowledge, where Mistral Medium 3.5 leads 39.3 to 24.8.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Mistral Medium 3.5 accepts more context: 262K tokens versus 128K.

Side by side

Mistral Medium 3.5 and Phi-4 Mini specifications
Mistral Medium 3.5Phi-4 Mini
ProviderMistral AIMicrosoft
Noometry Index39.630.4
Released—2024-12-11
WeightsOpenOpen
Context window262K128K
Max output210K4K
Input $ / M tokens$1.50$0.075
Output $ / M tokens$7.50$0.30
Results tracked223

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Category by category

Coding Mistral Medium 3.5 leads

Mistral Medium 3.5: 35.7 (#208), Phi-4 Mini: 27.6 (#312)

Coding benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena WebDev1263—
SciCode—10.8%
LMArena Coding1461—

Reasoning Phi-4 Mini leads

Mistral Medium 3.5: 16.6 (#290), Phi-4 Mini: 21.7 (#190)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
Kagi LLM Benchmark41.4%—
NYT Connections (extended)12.9%—
CritPt—0%
LMArena Hard Prompts1436—
Epoch Capabilities Index141.42—

Math Not comparable

Mistral Medium 3.5: 36.4 (#113), Phi-4 Mini: —

Math benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena Math1432—

Knowledge Mistral Medium 3.5 leads

Mistral Medium 3.5: 39.3 (#123), Phi-4 Mini: 24.8 (#261)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
Vectara Hallucination Rate—23.5%
LMArena Expert1431—

Multimodal Not comparable

Mistral Medium 3.5: 37.6 (#64), Phi-4 Mini: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena Vision1222—

Multilingual Not comparable

Mistral Medium 3.5: 52.1 (#93), Phi-4 Mini: —

Multilingual benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena Non-English1405—
LMArena Chinese1443—
LMArena French1448—
LMArena German1453—
LMArena Korean1387—
LMArena Russian1396—
LMArena Spanish1406—

Instruction Following Not comparable

Mistral Medium 3.5: 74.7 (#87), Phi-4 Mini: —

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena Instruction Following1414—

Long Context Not comparable

Mistral Medium 3.5: 43.2 (#101), Phi-4 Mini: —

Long Context benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena Longer Query1414—

Writing & Preference Not comparable

Mistral Medium 3.5: 58.6 (#113), Phi-4 Mini: —

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Phi-4 Mini
LMArena Text1421—
LMArena Creative Writing1372—
EQ-Bench 4993—
LMArena Multi-Turn1423—

Frequently asked questions

Is Mistral Medium 3.5 better than Phi-4 Mini?

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 30.4 on the Noometry Index. Phi-4 Mini costs 23× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Which is cheaper, Mistral Medium 3.5 or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Phi-4 Mini better for coding?

Mistral Medium 3.5 scores higher on coding benchmarks: 35.7 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 128K.

How many benchmarks do Mistral Medium 3.5 and Phi-4 Mini share?

0 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Phi-4 Mini has 3.

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