Model comparison

Gemini 2.5 Flash-Lite vs Mistral Medium 3.1

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Summary

  • The widest gap is in reasoning, where Gemini 2.5 Flash-Lite leads 22.2 to 10.6.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.

Side by side

Gemini 2.5 Flash-Lite and Mistral Medium 3.1 specifications
Gemini 2.5 Flash-LiteMistral Medium 3.1
ProviderGoogleMistral AI
Noometry Index37.031.9
Released2025-06-17—
WeightsProprietaryProprietary
Context window1.05M131K
Max output66K105K
Input $ / M tokens$0.10$0.40
Output $ / M tokens$0.40$2
Results tracked333

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Category by category

Coding Not comparable

Gemini 2.5 Flash-Lite: 38.5 (#173), Mistral Medium 3.1: —

Coding benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
WeirdML35.2%—
LMArena Coding1373—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Mistral Medium 3.1: —

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
Berkeley Function Calling Leaderboard36.9%—

Reasoning Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 22.2 (#205), Mistral Medium 3.1: 10.6 (#341)

Reasoning benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
Kagi LLM Benchmark40.5%—
NYT Connections (extended)—6.5%
Thematic Generalization—20.3%
LMArena Hard Prompts1377—
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math Not comparable

Gemini 2.5 Flash-Lite: 38.0 (#144), Mistral Medium 3.1: —

Math benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
Omni-MATH48%—
LMArena Math1373—

Knowledge Not comparable

Gemini 2.5 Flash-Lite: 32.5 (#210), Mistral Medium 3.1: —

Knowledge benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
LMArena Expert1373—

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Mistral Medium 3.1: —

Multimodal benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
LMArena Vision1198—
VPCT30%—

Multilingual Not comparable

Gemini 2.5 Flash-Lite: 49.3 (#134), Mistral Medium 3.1: —

Multilingual benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
LMArena Non-English1369—
LMArena Chinese1404—
LMArena French1388—
LMArena German1389—
LMArena Japanese1359—
LMArena Korean1360—
LMArena Russian1373—
LMArena Spanish1396—

Instruction Following Not comparable

Gemini 2.5 Flash-Lite: 70.0 (#168), Mistral Medium 3.1: —

Instruction Following benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
IFEval81%—
LMArena Instruction Following1367—

Long Context Not comparable

Gemini 2.5 Flash-Lite: 33.3 (#262), Mistral Medium 3.1: —

Long Context benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
Fiction.LiveBench47.2%—
LMArena Longer Query1373—

Writing & Preference Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 56.8 (#135), Mistral Medium 3.1: 55.5 (#145)

Writing & Preference benchmarks
BenchmarkGemini 2.5 Flash-LiteMistral Medium 3.1
LMArena Text1379—
LMArena Creative Writing1367—
EQ-Bench Creative Writing—1476
WildBench81.8%—
LMArena Multi-Turn1366—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Mistral Medium 3.1?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.9 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or Mistral Medium 3.1?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Flash-Lite and Mistral Medium 3.1 share?

0 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Mistral Medium 3.1 has 3.

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