Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context window, it delivers more acc…
Model details →AI21: Jamba Large 1.7 vs Mistral: Codestral 2508
Mistral: Codestral 2508 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/ne…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Mistral: Codestral 2508 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 256K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.30 | 🏆 Mistral: Codestral 2508 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.90 | 🏆 Mistral: Codestral 2508 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Mistral: Codestral 2508?
Mistral: Codestral 2508 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between AI21: Jamba Large 1.7 and Mistral: Codestral 2508?
Input: $2.00 vs $0.30 per 1M tokens. Output: $8.00 vs $0.90 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Mistral: Codestral 2508 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Mistral: Codestral 2508 supports up to 256K tokens.
Do both AI21: Jamba Large 1.7 and Mistral: Codestral 2508 support tool calling?
AI21: Jamba Large 1.7: yes. Mistral: Codestral 2508: yes.