Codestral Mamba 7B
Codestral Mamba 7B is worth evaluating for long context when its provider route and context window match the workload.
Use it for
- Teams evaluating long context
- Workloads that can use a 256k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Codestral
- Released
- 2024-07-16
- Context
- 256k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 1 route · NVIDIA NIM
About
Codestral Mamba 7B is MistralAI's Codestral model. It offers a 256K-token context window.
Codestral Mamba 7B is a model in the Codestral family. The structured metadata tracks a 256k-token context window. This page tracks provider routes through NVIDIA NIM. No headline benchmark score is tracked for Codestral Mamba 7B yet.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| NVIDIA NIM | - | - | ServerlessPartial |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.