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Llama 3.1 70B Instruct vs Mixtral 8x22B Instruct

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 70B Instruct and Mixtral 8x22B Instruct.

Meta

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

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Mistral

Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

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Technical Specifications

SpecificationLlama 3.1 70B InstructMixtral 8x22B Instruct
ProviderMetaMistral
Context Window131,072 tokens65,536 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232024-04-17

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 70B Instruct

$0.40

Mixtral 8x22B Instruct

$2.00

Output Price per Million Tokens

Llama 3.1 70B Instruct

$0.40

Mixtral 8x22B Instruct

$6.00

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 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Mixtral 8x22B Instruct Quirks & Gotchas

No developer gotchas reported.