Model comparison

Mixtral 8x7B vs o1-mini

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

Last verified . 22 shared benchmarks.

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

o1-mini OpenAI

34.0

Rank #235 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Mixtral 8x7B scores higher in 1 category and o1-mini in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where o1-mini leads 34.9 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 10% for Mixtral 8x7B and 89.2% for o1-mini.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x7B and o1-mini specifications
Mixtral 8x7Bo1-mini
ProviderMistral AIOpenAI
Noometry Index27.134.0
Released2023-12-112024-09-12
WeightsOpenProprietary
Context window32K—
Max output32K—
Input $ / M tokens$0.70—
Output $ / M tokens$0.70—
Results tracked3839

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Category by category

Coding o1-mini leads

Mixtral 8x7B: 32.8 (#269), o1-mini: 35.5 (#224)

Coding benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Coding11261362
HumanEval+39.6%89%
MBPP+49.7%78.8%
Aider Polyglot—32.9%
WeirdML—36.3%
LiveBench Coding—48%

Agentic & Tool Use Not comparable

Mixtral 8x7B: —, o1-mini: 24.6 (#118)

Agentic & Tool Use benchmarks
BenchmarkMixtral 8x7Bo1-mini
Cybench—10%

Reasoning Mixtral 8x7B leads

Mixtral 8x7B: 18.2 (#285), o1-mini: 8.8 (#346)

Reasoning benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Hard Prompts11151333
Epoch Capabilities Index118.47135.82
ARC-AGI-2—0.8%
SimpleBench—18.1%
ARC-AGI-1—14%
LiveBench Reasoning—72.3%
DTBench49.6%—
LiveBench Data Analysis—57.9%
Adversarial NLI55.2%—
ForecastBench56.3—
HellaSwag86.7%—
LiveBench—57.8%
PIQA83.6%—
WinoGrande77.2%—

Math o1-mini leads

Mixtral 8x7B: 18.8 (#289), o1-mini: 35.4 (#186)

Math benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Math11471358
MATH Level 510%89.2%
OTIS Mock AIME 2024-2025—46.9%
Omni-MATH10.5%—
LiveBench Math—62%
FrontierMath (Feb 2025 set)—1.7%
GSM8K74.4%—

Knowledge o1-mini leads

Mixtral 8x7B: 11.0 (#301), o1-mini: 34.9 (#192)

Knowledge benchmarks
BenchmarkMixtral 8x7Bo1-mini
GPQA Diamond30.6%62.4%
LMArena Expert10881316
MMLU-Pro33.5%—
Confabulations—18.6%
GPQA (HELM)29.6%—
ARC (AI2) Challenge87.3%—
MMLU70.6%—
OpenBookQA85.8%—
TriviaQA82.2%—

Multilingual o1-mini leads

Mixtral 8x7B: 29.6 (#266), o1-mini: 43.6 (#182)

Multilingual benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Non-English10771289
LMArena Chinese10551314
LMArena French11661293
LMArena German11141278
LMArena Japanese9311245
LMArena Korean9681223
LMArena Russian10901283
LMArena Spanish11111303

Instruction Following o1-mini leads

Mixtral 8x7B: 51.0 (#297), o1-mini: 66.7 (#206)

Instruction Following benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Instruction Following11091304
LiveBench Instruction Following—65.4%
IFEval57.5%—

Long Context o1-mini leads

Mixtral 8x7B: 33.4 (#260), o1-mini: 40.1 (#161)

Long Context benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Longer Query11031320

Writing & Preference o1-mini leads

Mixtral 8x7B: 34.2 (#270), o1-mini: 48.4 (#202)

Writing & Preference benchmarks
BenchmarkMixtral 8x7Bo1-mini
LMArena Text11321317
LMArena Creative Writing11091244
LMArena Multi-Turn11151314
Short-Story Creative Writing—64.9%
WildBench67.3%—
LiveBench Language—40.9%

Frequently asked questions

Is Mixtral 8x7B better than o1-mini?

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

Is Mixtral 8x7B or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 32.8 in the Noometry coding category.

How many benchmarks do Mixtral 8x7B and o1-mini share?

22 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and o1-mini has 39.

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