Llama 3.3 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 3.3 70B Instruct and Mixtral 8x22B Instruct.
Llama 3.3 70B Instruct
Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.
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,...
Technical Specifications
| Specification | Llama 3.3 70B Instruct | Mixtral 8x22B Instruct |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 131,072 tokens | 65,536 tokens |
| Agent Suitability | 83/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2024-04-17 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.10
Mixtral 8x22B Instruct
$2.00
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.32
Mixtral 8x22B Instruct
$6.00
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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 3.3 70B Instruct Quirks & Gotchas
- ▸Stable, well-documented self-hosted option with strong community support
- ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows
Mixtral 8x22B Instruct Quirks & Gotchas
No developer gotchas reported.