Llama 3.1 405B 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 3.1 405B and Mistral Large 2.
Llama 3.1 405B
Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.
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 3.1 405B | Mistral Large 2 |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 131,072 tokens | 1,048,576 tokens |
| Agent Suitability | 90/100 | 93/100 |
| Time to First Token (TTFT) | 550 ms | 270 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-23 | 2025-07-24 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.1 405B
$0.80
Mistral Large 2
$0.60
Output Price per Million Tokens
Llama 3.1 405B
$0.80
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 3.1 405B Quirks & Gotchas
- ▸Massive model — requires 8× A100 80GB for FP16 inference
- ▸Available via Together AI, Fireworks, and Bedrock as managed API
Mistral Large 2 Quirks & Gotchas
- ▸Excellent European data sovereignty — GDPR-compliant infrastructure
- ▸1M context window enables full codebase analysis in a single pass