Noometry

Model comparison

Gemma 3 4B vs Mixtral 8x22B

Gemma 3 4B is the stronger model overall, scoring 27.9 to 26.7 on the Noometry Index.

Last verified . 15 shared benchmarks.

Gemma 3 4B Google

27.9

Rank #320 Confirmed

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Gemma 3 4B scores higher in 5 categories and Mixtral 8x22B in 4 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Gemma 3 4B leads 35.3 to 23.8.
  • The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 34.1% for Mixtral 8x22B.
  • Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Gemma 3 4B accepts more context: 131K tokens versus 64K.

Side by side

Gemma 3 4BMixtral 8x22B
ProviderGoogleMistral AI
Noometry Index27.926.7
Released2025-03-122024-04-17
WeightsOpenOpen
Context window131K64K
Max output4K64K
Input $ / M tokens$0.04$2
Output $ / M tokens$0.08$6
Results tracked2234

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

Category by category

Coding Gemma 3 4B leads

Gemma 3 4B: 35.3 (#214), Mixtral 8x22B: 23.8 (#324)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Coding12301166
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Mixtral 8x22B leads

Gemma 3 4B: 20.7 (#134), Mixtral 8x22B: 22.8 (#119)

BenchmarkGemma 3 4BMixtral 8x22B
Berkeley Function Calling Leaderboard19.6%—
Cybench—7.5%

Reasoning Mixtral 8x22B leads

Gemma 3 4B: 12.7 (#330), Mixtral 8x22B: 19.1 (#246)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Hard Prompts12531150
DTBench50.9%55.1%
Epoch Capabilities Index116.02122
Kagi LLM Benchmark25.2%—
Chess Puzzles0%—
LMCA2.8%—
ForecastBench—56.3

Math Mixtral 8x22B leads

Gemma 3 4B: 15.8 (#286), Mixtral 8x22B: 21.2 (#271)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Math12391184
OTIS Mock AIME 2024-20257.5%—
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge Mixtral 8x22B leads

Gemma 3 4B: 11.8 (#294), Mixtral 8x22B: 15.1 (#288)

BenchmarkGemma 3 4BMixtral 8x22B
GPQA Diamond23.2%34.1%
LMArena Expert12231113
MMLU-Pro—46%
Vectara Hallucination Rate6.4%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual Gemma 3 4B leads

Gemma 3 4B: 42.7 (#189), Mixtral 8x22B: 32.9 (#250)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Non-English12731128
LMArena German12811141
LMArena Russian12941158
LMArena Chinese—1116
LMArena French—1165
LMArena Japanese—1037
LMArena Korean—1056
LMArena Spanish—1150

Instruction Following Gemma 3 4B leads

Gemma 3 4B: 65.4 (#219), Mixtral 8x22B: 57.9 (#261)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Instruction Following12391147
IFEval—72.4%

Long Context Gemma 3 4B leads

Gemma 3 4B: 38.6 (#189), Mixtral 8x22B: 34.6 (#242)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Longer Query12741144

Writing & Preference Gemma 3 4B leads

Gemma 3 4B: 42.2 (#234), Mixtral 8x22B: 37.1 (#257)

BenchmarkGemma 3 4BMixtral 8x22B
LMArena Text12911162
LMArena Creative Writing12701141
LMArena Multi-Turn12551130
EQ-Bench Creative Writing1068—
WildBench—71.1%

Frequently asked questions

Is Gemma 3 4B better than Mixtral 8x22B?

Gemma 3 4B is the stronger model overall, scoring 27.9 to 26.7 on the Noometry Index.

Which is cheaper, Gemma 3 4B or Mixtral 8x22B?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Gemma 3 4B or Mixtral 8x22B better for coding?

Gemma 3 4B scores higher on coding benchmarks: 35.3 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 64K.

How many benchmarks do Gemma 3 4B and Mixtral 8x22B share?

15 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Mixtral 8x22B has 34.

Related comparisons

Go deeper