Noometry

Model comparison

Gemma 3 4B vs Mistral Small 3

Mistral Small 3 is the stronger model overall, scoring 31.2 to 28.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemma 3 4B Google

28.1

Rank #326 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 3 4B scores higher in 5 categories and Mistral Small 3 in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mistral Small 3 leads 25.1 to 11.8.
  • The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 47.3% for Mistral Small 3.
  • Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.05 / $0.08 for Mistral Small 3.
  • Gemma 3 4B accepts more context: 131K tokens versus 33K.

Side by side

Gemma 3 4BMistral Small 3
ProviderGoogleMistral AI
Noometry Index28.131.2
Released2025-03-122025-01-30
WeightsOpenOpen
Context window131K33K
Max output4K16K
Input $ / M tokens$0.04$0.05
Output $ / M tokens$0.08$0.08
Results tracked2224

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Category by category

Coding Too close to call

Gemma 3 4B: 35.9 (#215), Mistral Small 3: 36.5 (#207)

BenchmarkGemma 3 4BMistral Small 3
LMArena Coding12301246
BigCodeBench Instruct—45.3%
BigCodeBench Complete—50.4%

Agentic & Tool Use Not comparable

Gemma 3 4B: 20.9 (#142), Mistral Small 3: —

BenchmarkGemma 3 4BMistral Small 3
Berkeley Function Calling Leaderboard19.6%—

Reasoning Mistral Small 3 leads

Gemma 3 4B: 13.2 (#335), Mistral Small 3: 18.9 (#273)

BenchmarkGemma 3 4BMistral Small 3
Chess Puzzles0%0%
LMArena Hard Prompts12531233
Epoch Capabilities Index116.02127.07
Kagi LLM Benchmark25.2%—
DTBench50.9%—
LMCA2.8%—

Math Too close to call

Gemma 3 4B: 16.8 (#292), Mistral Small 3: 16.3 (#295)

BenchmarkGemma 3 4BMistral Small 3
OTIS Mock AIME 2024-20257.5%6.7%
LMArena Math12391240

Knowledge Mistral Small 3 leads

Gemma 3 4B: 11.8 (#299), Mistral Small 3: 25.1 (#263)

BenchmarkGemma 3 4BMistral Small 3
GPQA Diamond23.2%47.3%
LMArena Expert12231202
Confabulations—25.2%
Vectara Hallucination Rate6.4%—

Multilingual Gemma 3 4B leads

Gemma 3 4B: 42.5 (#194), Mistral Small 3: 37.3 (#236)

BenchmarkGemma 3 4BMistral Small 3
LMArena Non-English12731198
LMArena German12811211
LMArena Russian12941216
LMArena Chinese—1204
LMArena French—1203
LMArena Japanese—1111
LMArena Korean—1188

Instruction Following Gemma 3 4B leads

Gemma 3 4B: 65.2 (#225), Mistral Small 3: 63.7 (#229)

BenchmarkGemma 3 4BMistral Small 3
LMArena Instruction Following12391214

Long Context Too close to call

Gemma 3 4B: 38.7 (#194), Mistral Small 3: 37.8 (#211)

BenchmarkGemma 3 4BMistral Small 3
LMArena Longer Query12731246

Writing & Preference Gemma 3 4B leads

Gemma 3 4B: 42.0 (#239), Mistral Small 3: 32.2 (#280)

BenchmarkGemma 3 4BMistral Small 3
LMArena Text12911234
LMArena Creative Writing12711195
EQ-Bench Creative Writing1068707
LMArena Multi-Turn12551217

Frequently asked questions

Is Gemma 3 4B better than Mistral Small 3?

Mistral Small 3 is the stronger model overall, scoring 31.2 to 28.1 on the Noometry Index.

Which is cheaper, Gemma 3 4B or Mistral Small 3?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Mistral Small 3 lists at $0.05 and $0.08.

Is Gemma 3 4B or Mistral Small 3 better for coding?

They score almost the same on coding (35.9 vs 36.5); test both on your own repository before choosing.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 33K.

How many benchmarks do Gemma 3 4B and Mistral Small 3 share?

17 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Mistral Small 3 has 24.

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