Codestral 25.01 vs Llama-4-Maverick-17B-128E-Instruct-FP8
Both have similar output pricing, while Llama-4-Maverick-17B-128E-Instruct-FP8 offers a larger context window. Choose Codestral 25.01 or Llama-4-Maverick-17B-128E-Instruct-FP8 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Codestral 25.01 | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | GitHub Models | Vercel AI Gateway |
| Input / 1M tokens | $0.00 | $0.00 |
| Output / 1M tokens | $0.00 | $0.00 |
| Context window | 32K | 128K |
| Parameters | — | — |
| Open weights | No | Yes |
| Released | Jan 2025 | Apr 2025 |
| Aider Polyglot score | 11.1 | — |
| GPQA Diamond score | — | 67.0 |
| FrontierMath score | — | 0.7 |
FAQ
Is Codestral 25.01 or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
Codestral 25.01 and Llama-4-Maverick-17B-128E-Instruct-FP8 have comparable output pricing.
Which has the larger context window, Codestral 25.01 or Llama-4-Maverick-17B-128E-Instruct-FP8?
Llama-4-Maverick-17B-128E-Instruct-FP8 has the larger context window (128K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.