Model comparison

Llama 3.1 Nemotron 70b Instruct vs Mixtral 8x7B

Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 27.1 on the Noometry Index.

Last verified . 12 shared benchmarks.

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 3.1 Nemotron 70b Instruct leads 34.1 to 11.0.

Side by side

Llama 3.1 Nemotron 70b Instruct and Mixtral 8x7B specifications
Llama 3.1 Nemotron 70b InstructMixtral 8x7B
ProviderNVIDIAMistral AI
Noometry Index37.627.1
Released2024-12-182023-12-11
WeightsOpenOpen
Context window—32K
Max output—32K
Input $ / M tokens—$0.70
Output $ / M tokens—$0.70
Results tracked1438

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Category by category

Coding Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Mixtral 8x7B: 32.8 (#269)

Coding benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Coding12721126
BigCodeBench Instruct38.7%—
BigCodeBench Complete48.2%—
HumanEval+—39.6%
MBPP+—49.7%

Reasoning Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Mixtral 8x7B: 18.2 (#285)

Reasoning benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Hard Prompts12661115
DTBench—49.6%
Adversarial NLI—55.2%
Epoch Capabilities Index—118.47
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Mixtral 8x7B: 18.8 (#289)

Math benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Math12711147
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Mixtral 8x7B: 11.0 (#301)

Knowledge benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Expert12421088
GPQA Diamond—30.6%
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Mixtral 8x7B: 29.6 (#266)

Multilingual benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Non-English12451077
LMArena Chinese12631055
LMArena Russian12271090
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Spanish—1111

Instruction Following Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Mixtral 8x7B: 51.0 (#297)

Instruction Following benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Instruction Following12521109
IFEval—57.5%

Long Context Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Mixtral 8x7B: 33.4 (#260)

Long Context benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Longer Query12381103

Writing & Preference Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Mixtral 8x7B: 34.2 (#270)

Writing & Preference benchmarks
BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x7B
LMArena Text12831132
LMArena Creative Writing12691109
LMArena Multi-Turn12751115
WildBench—67.3%

Frequently asked questions

Is Llama 3.1 Nemotron 70b Instruct better than Mixtral 8x7B?

Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 27.1 on the Noometry Index.

Is Llama 3.1 Nemotron 70b Instruct or Mixtral 8x7B better for coding?

Llama 3.1 Nemotron 70b Instruct scores higher on coding benchmarks: 35.9 versus 32.8 in the Noometry coding category.

How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Mixtral 8x7B share?

12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Mixtral 8x7B has 38.

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