Llama 3.1 405B vs Mistral Small 3.2
Compare Meta (via Together AI) and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 405B
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Llama 3.1 405B
Feature Comparison
| Feature | Llama 3.1 405B | Mistral Small 3.2 |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $3.50/1M tokens | $0.06/1M tokens |
| Output Price | $3.50/1M tokens | $0.18/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textcode |
| Release Date | 7/23/2024 | 12/2/2025 |
Llama 3.1 405B vs Mistral Small 3.2: Which Should You Choose?
Choosing between Llama 3.1 405B and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.06/1M input tokens — 98% cheaper than Llama 3.1 405B.
These models come from different providers — Meta (via Together AI) and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Llama 3.1 405B is a flagship model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while Mistral Small 3.2 offers better value for routine operations.
Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $0.18 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.18/1M output tokens.
Best Use Cases
Choose Llama 3.1 405B when:
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Choose Mistral Small 3.2 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Llama 3.1 405B (Meta (via Together AI))
Mistral Small 3.2 (Mistral AI)
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