LLM Reference

Codestral Mamba 7B

Released
2024-07-16
Last refreshed
2026-05-19
Status
Researched 106d ago
Open weightsCommercial use: non-commercialLong context

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
Specifications
Family
Codestral
Released
2024-07-16
Context
256k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
Mistral LicenseCommercial use: non-commercial
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by
MistralAIMistralAI

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · NVIDIA NIM

Providers(1)
NVIDIA NIM
View 1 provider route

About

Codestral Mamba 7B is MistralAI's Codestral model. It offers a 256K-token context window.

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.

ProviderInput / 1MOutput / 1MRoute
NVIDIA NIM--
ServerlessPartial

Available via routers & gateways(1)

NVIDIA LLM Router Blueprint

Router

NVIDIA's open-source AI blueprint for LLM routing that selects the optimal model per prompt via intent classification or neural auto-routing; being deprecated 2026-06-20.

Free OSSNVIDIA NIM

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.