Noometry

Model comparison

Grok-2 (Dec 2024) vs Mixtral 8x7B

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.1 on the Noometry Index.

Last verified . 21 shared benchmarks.

Grok-2 (Dec 2024) xAI

33.7

Rank #239 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 7 categories and Mixtral 8x7B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok-2 (Dec 2024) leads 29.8 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 10% for Mixtral 8x7B.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Grok-2 (Dec 2024)Mixtral 8x7B
ProviderxAIMistral AI
Noometry Index33.727.1
Released2024-08-132023-12-11
WeightsProprietaryOpen
Context window—32K
Max output—32K
Input $ / M tokens—$0.70
Output $ / M tokens—$0.70
Results tracked3438

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Category by category

Coding Too close to call

Grok-2 (Dec 2024): 33.3 (#258), Mixtral 8x7B: 32.8 (#269)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Coding12871126
WeirdML22.2%—
LiveBench Coding46.4%—
HumanEval+—39.6%
MBPP+—49.7%

Reasoning Mixtral 8x7B leads

Grok-2 (Dec 2024): 16.9 (#299), Mixtral 8x7B: 18.2 (#285)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Hard Prompts12721115
DTBench65.2%49.6%
Epoch Capabilities Index130.48118.47
SimpleBench22.7%—
LiveBench Reasoning54.8%—
LiveBench Data Analysis54.5%—
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
LiveBench54.3%—
PIQA—83.6%
WinoGrande—77.2%

Math Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 20.8 (#284), Mixtral 8x7B: 18.8 (#289)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Math12831147
MATH Level 563.5%10%
OTIS Mock AIME 2024-202511.5%—
Omni-MATH—10.5%
LiveBench Math54.9%—
FrontierMath (Feb 2025 set)0.7%—
GSM8K—74.4%

Knowledge Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 29.8 (#233), Mixtral 8x7B: 11.0 (#301)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
GPQA Diamond53.8%30.6%
LMArena Expert12541088
MMLU-Pro—33.5%
Confabulations20.1%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 43.1 (#188), Mixtral 8x7B: 29.6 (#266)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Non-English12821077
LMArena Chinese12891055
LMArena French13181166
LMArena German12871114
LMArena Japanese1244931
LMArena Korean1237968
LMArena Russian12861090
LMArena Spanish12811111

Instruction Following Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 66.9 (#202), Mixtral 8x7B: 51.0 (#297)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Instruction Following12701109
LiveBench Instruction Following69.6%—
IFEval—57.5%

Long Context Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 38.8 (#190), Mixtral 8x7B: 33.4 (#260)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Longer Query12761103

Writing & Preference Grok-2 (Dec 2024) leads

Grok-2 (Dec 2024): 48.6 (#198), Mixtral 8x7B: 34.2 (#270)

BenchmarkGrok-2 (Dec 2024)Mixtral 8x7B
LMArena Text13051132
LMArena Creative Writing12841109
LMArena Multi-Turn12901115
Short-Story Creative Writing63.6%—
WildBench—67.3%
LiveBench Language45.6%—

Frequently asked questions

Is Grok-2 (Dec 2024) better than Mixtral 8x7B?

Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.1 on the Noometry Index.

Is Grok-2 (Dec 2024) or Mixtral 8x7B better for coding?

They score almost the same on coding (33.3 vs 32.8); test both on your own repository before choosing.

How many benchmarks do Grok-2 (Dec 2024) and Mixtral 8x7B share?

21 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Mixtral 8x7B has 38.

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