Codestral 22B is 87% cheaper than Llama 3.1 405B (Together AI) on blended 3:1 token pricing. Llama 3.1 405B (Together AI) costs $3.50/1M in and $3.50/1M out, while Codestral 22B costs $0.30/1M in and $0.90/1M out.
Llama 3.1 405B (Together AI) vs Codestral 22B
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Together AI (Meta) and Mistral AI.
| Metric / Feature | Llama 3.1 405B (Together AI) (Together AI (Meta)) | Codestral 22B (Mistral AI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $3.50 | $0.30 |
| Output Price ($ / 1M Tokens) | $3.50 | $0.90 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $3.500 / 1M | $0.450 / 1M |
| Max Context Window | 128k | 128k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | 88.6% | 81.1% |
| Throughput & Latency | Standard (~30 t/s) | Ultra-Fast (~80 t/s) |
| Best For | Synthetic data generation, model distillation, enterprise on-premise benchmarking | Fill-in-the-middle code completion, automated unit tests, IDE integration |
When to Choose Llama 3.1 405B (Together AI)
Choose Llama 3.1 405B (Together AI) if your workload requires synthetic data generation, model distillation, enterprise on-premise benchmarking. Ideal for teams needing Together AI (Meta)'s infrastructure and ecosystem tooling.
When to Choose Codestral 22B
Choose Codestral 22B if your primary objective is fill-in-the-middle code completion, automated unit tests, ide integration. Ideal for scaling high-throughput pipelines with Mistral AI.
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