Model comparison

Mixtral 8x22B vs Pixtral Large

Pixtral Large is the stronger model overall, scoring 32.2 to 27.1 on the Noometry Index.

Last verified . 0 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • The widest gap is in writing & preference, where Mixtral 8x22B leads 36.9 to 32.9.
  • Both cost about the same: $2 input and $6 output per million tokens.
  • Pixtral Large accepts more context: 128K tokens versus 64K.

Side by side

Mixtral 8x22B and Pixtral Large specifications
Mixtral 8x22BPixtral Large
ProviderMistral AIMistral AI
Noometry Index27.132.2
Released2024-04-172024-11-01
WeightsOpenOpen
Context window64K128K
Max output64K128K
Input $ / M tokens$2$2
Output $ / M tokens$6$6
Results tracked343

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

Category by category

Coding Not comparable

Mixtral 8x22B: 24.2 (#329), Pixtral Large: —

Coding benchmarks
BenchmarkMixtral 8x22BPixtral Large
WeirdML3.2%—
BigCodeBench Instruct40.6%—
LMArena Coding1166—
BigCodeBench Complete50.2%—
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 23.1 (#127), Pixtral Large: —

Agentic & Tool Use benchmarks
BenchmarkMixtral 8x22BPixtral Large
Cybench7.5%—

Reasoning Pixtral Large leads

Mixtral 8x22B: 19.9 (#248), Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkMixtral 8x22BPixtral Large
EnigmaEval—0.8%
LMArena Hard Prompts1150—
DTBench55.1%—
Epoch Capabilities Index122.03—
ForecastBench56.3—

Math Not comparable

Mixtral 8x22B: 22.9 (#275), Pixtral Large: —

Math benchmarks
BenchmarkMixtral 8x22BPixtral Large
Omni-MATH16.3%—
LMArena Math1184—
MATH Level 524.2%—

Knowledge Not comparable

Mixtral 8x22B: 15.1 (#293), Pixtral Large: —

Knowledge benchmarks
BenchmarkMixtral 8x22BPixtral Large
GPQA Diamond34.1%—
MMLU-Pro46%—
GPQA (HELM)33.4%—
LMArena Expert1113—
MMLU77.8%—

Multimodal Not comparable

Mixtral 8x22B: —, Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkMixtral 8x22BPixtral Large
LMArena Vision—1089

Multilingual Not comparable

Mixtral 8x22B: 32.8 (#255), Pixtral Large: —

Multilingual benchmarks
BenchmarkMixtral 8x22BPixtral Large
LMArena Non-English1128—
LMArena Chinese1116—
LMArena French1166—
LMArena German1141—
LMArena Japanese1037—
LMArena Korean1057—
LMArena Russian1158—
LMArena Spanish1151—

Instruction Following Not comparable

Mixtral 8x22B: 57.7 (#266), Pixtral Large: —

Instruction Following benchmarks
BenchmarkMixtral 8x22BPixtral Large
IFEval72.4%—
LMArena Instruction Following1147—

Long Context Not comparable

Mixtral 8x22B: 34.7 (#247), Pixtral Large: —

Long Context benchmarks
BenchmarkMixtral 8x22BPixtral Large
LMArena Longer Query1144—

Writing & Preference Mixtral 8x22B leads

Mixtral 8x22B: 36.9 (#262), Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkMixtral 8x22BPixtral Large
LMArena Text1162—
LMArena Creative Writing1141—
EQ-Bench Creative Writing—988
WildBench71.1%—
LMArena Multi-Turn1130—

Frequently asked questions

Is Mixtral 8x22B better than Pixtral Large?

Pixtral Large is the stronger model overall, scoring 32.2 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x22B or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Which has the bigger context window?

Pixtral Large does, with 128K tokens against 64K.

How many benchmarks do Mixtral 8x22B and Pixtral Large share?

0 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Pixtral Large has 3.

Related comparisons

Go deeper