Llama 3.3 70B Instruct vs Mistral Large 2
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 Mistral Large 2.
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.
Mistral Large 2
Mistral Large 2 is Mistral AI's second-generation flagship commercial model, delivering substantial improvements over the original Mistral Large in reasoning, tool use, multilingual capabilities, and instruction following. With a 1-million-token context window, it processes entire codebases and lengthy documents in a single pass. Mistral Large 2 excels at complex agentic workflows, structured JSON output, and native function calling — making it one of the top choices for European enterprises requiring GDPR-compliant AI infrastructure.
Technical Specifications
| Specification | Llama 3.3 70B Instruct | Mistral Large 2 |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 131,072 tokens | 1,048,576 tokens |
| Agent Suitability | 83/100 | 93/100 |
| Time to First Token (TTFT) | 280 ms | 270 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2025-07-24 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.10
Mistral Large 2
$0.60
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.32
Mistral Large 2
$1.80
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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
Mistral Large 2 Quirks & Gotchas
- ▸Excellent European data sovereignty — GDPR-compliant infrastructure
- ▸1M context window enables full codebase analysis in a single pass