Noometry

Model comparison

Mixtral 8x22B vs o1-mini

o1-mini is the stronger model overall, scoring 34.0 to 27.1 on the Noometry Index.

Last verified . 24 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Mixtral 8x22B scores higher in 1 category and o1-mini in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where o1-mini leads 34.9 to 15.1.
  • The biggest single-benchmark swing is MATH Level 5: 24.2% for Mixtral 8x22B and 89.2% for o1-mini.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x22Bo1-mini
ProviderMistral AIOpenAI
Noometry Index27.134.0
Released2024-04-172024-09-12
WeightsOpenProprietary
Context window64K—
Max output64K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked3439

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

Category by category

Coding o1-mini leads

Mixtral 8x22B: 24.2 (#329), o1-mini: 35.5 (#224)

BenchmarkMixtral 8x22Bo1-mini
WeirdML3.2%36.3%
LMArena Coding11661362
HumanEval+72%89%
MBPP+64.3%78.8%
Aider Polyglot—32.9%
BigCodeBench Instruct40.6%—
LiveBench Coding—48%
BigCodeBench Complete50.2%—

Agentic & Tool Use o1-mini leads

Mixtral 8x22B: 23.1 (#127), o1-mini: 24.6 (#118)

BenchmarkMixtral 8x22Bo1-mini
Cybench7.5%10%

Reasoning Mixtral 8x22B leads

Mixtral 8x22B: 19.9 (#248), o1-mini: 8.8 (#346)

BenchmarkMixtral 8x22Bo1-mini
LMArena Hard Prompts11501333
Epoch Capabilities Index122.03135.82
ARC-AGI-2—0.8%
SimpleBench—18.1%
ARC-AGI-1—14%
LiveBench Reasoning—72.3%
DTBench55.1%—
LiveBench Data Analysis—57.9%
ForecastBench56.3—
LiveBench—57.8%

Math o1-mini leads

Mixtral 8x22B: 22.9 (#275), o1-mini: 35.4 (#186)

BenchmarkMixtral 8x22Bo1-mini
LMArena Math11841358
MATH Level 524.2%89.2%
OTIS Mock AIME 2024-2025—46.9%
Omni-MATH16.3%—
LiveBench Math—62%
FrontierMath (Feb 2025 set)—1.7%

Knowledge o1-mini leads

Mixtral 8x22B: 15.1 (#293), o1-mini: 34.9 (#192)

BenchmarkMixtral 8x22Bo1-mini
GPQA Diamond34.1%62.4%
LMArena Expert11131316
MMLU-Pro46%—
Confabulations—18.6%
GPQA (HELM)33.4%—
MMLU77.8%—

Multilingual o1-mini leads

Mixtral 8x22B: 32.8 (#255), o1-mini: 43.6 (#182)

BenchmarkMixtral 8x22Bo1-mini
LMArena Non-English11281289
LMArena Chinese11161314
LMArena French11661293
LMArena German11411278
LMArena Japanese10371245
LMArena Korean10571223
LMArena Russian11581283
LMArena Spanish11511303

Instruction Following o1-mini leads

Mixtral 8x22B: 57.7 (#266), o1-mini: 66.7 (#206)

BenchmarkMixtral 8x22Bo1-mini
LMArena Instruction Following11471304
LiveBench Instruction Following—65.4%
IFEval72.4%—

Long Context o1-mini leads

Mixtral 8x22B: 34.7 (#247), o1-mini: 40.1 (#161)

BenchmarkMixtral 8x22Bo1-mini
LMArena Longer Query11441320

Writing & Preference o1-mini leads

Mixtral 8x22B: 36.9 (#262), o1-mini: 48.4 (#202)

BenchmarkMixtral 8x22Bo1-mini
LMArena Text11621317
LMArena Creative Writing11411244
LMArena Multi-Turn11301314
Short-Story Creative Writing—64.9%
WildBench71.1%—
LiveBench Language—40.9%

Frequently asked questions

Is Mixtral 8x22B better than o1-mini?

o1-mini is the stronger model overall, scoring 34.0 to 27.1 on the Noometry Index.

Is Mixtral 8x22B or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 24.2 in the Noometry coding category.

How many benchmarks do Mixtral 8x22B and o1-mini share?

24 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and o1-mini has 39.

Related comparisons

Go deeper