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Llama 3.1 8B Instruct vs Mistral Nemo

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.1 8B Instruct and Mistral Nemo.

Meta

Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

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Mistral

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

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Technical Specifications

SpecificationLlama 3.1 8B InstructMistral Nemo
ProviderMetaMistral
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232024-07-19

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 8B Instruct

$0.02

Mistral Nemo

$0.02

Output Price per Million Tokens

Llama 3.1 8B Instruct

$0.03

Mistral Nemo

$0.03

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Llama 3.1 8B Instruct Quirks & Gotchas

No developer gotchas reported.

Mistral Nemo Quirks & Gotchas

No developer gotchas reported.