Noometry

Model comparison

Llama 3.1 Nemotron 70b Instruct vs Mixtral 8x22B

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

Last verified . 14 shared benchmarks.

Llama 3.1 Nemotron 70b Instruct NVIDIA

37.6

Rank #203 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 8 categories and Mixtral 8x22B 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 15.1.

Side by side

Llama 3.1 Nemotron 70b InstructMixtral 8x22B
ProviderNVIDIAMistral AI
Noometry Index37.627.1
Released2024-12-182024-04-17
WeightsOpenOpen
Context window—64K
Max output—64K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked1434

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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 8x22B: 24.2 (#329)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
BigCodeBench Instruct38.7%40.6%
LMArena Coding12721166
BigCodeBench Complete48.2%50.2%
WeirdML—3.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Llama 3.1 Nemotron 70b Instruct: —, Mixtral 8x22B: 23.1 (#127)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
Cybench—7.5%

Reasoning Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Mixtral 8x22B: 19.9 (#248)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Hard Prompts12661150
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Mixtral 8x22B: 22.9 (#275)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Math12711184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Mixtral 8x22B: 15.1 (#293)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Expert12421113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Mixtral 8x22B: 32.8 (#255)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Non-English12451128
LMArena Chinese12631116
LMArena Russian12271158
LMArena French—1166
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1057
LMArena Spanish—1151

Instruction Following Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Mixtral 8x22B: 57.7 (#266)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Instruction Following12521147
IFEval—72.4%

Long Context Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Mixtral 8x22B: 34.7 (#247)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Longer Query12381144

Writing & Preference Llama 3.1 Nemotron 70b Instruct leads

Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Mixtral 8x22B: 36.9 (#262)

BenchmarkLlama 3.1 Nemotron 70b InstructMixtral 8x22B
LMArena Text12831162
LMArena Creative Writing12691141
LMArena Multi-Turn12751130
WildBench—71.1%

Frequently asked questions

Is Llama 3.1 Nemotron 70b Instruct better than Mixtral 8x22B?

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 8x22B better for coding?

Llama 3.1 Nemotron 70b Instruct scores higher on coding benchmarks: 35.9 versus 24.2 in the Noometry coding category.

How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Mixtral 8x22B share?

14 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Mixtral 8x22B has 34.

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