Mistral
Mistral
Efficient

Codestral Mamba

Code Mamba

Mamba-architecture variant of Codestral, linear-time inference at very long context, Apache 2.0.

Codestral Mamba is a efficient AI model from Mistral. It costs $0.250 per million input tokens and $0.250 per million output tokens (blended $0.250/M), with a 256,000-token context window.

INPUT
$0.250/M
per million input tokens
OUTPUT
$0.250/M
per million output tokens
BLENDED 70/30
$0.250/M
unchanged since 3 May
CONTEXT
256,000
tokens
What it is good at
  • Mamba (SSM) architecture
  • Linear-time long context
  • Open weights
Typical use cases
  • Repo-scale code analysis
  • Long-document architectural research

Benchmarks

vs. best public score
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from Mistral

See all 15 →

Frequently asked questions

How much does Codestral Mamba cost?

Codestral Mamba costs $0.250 per million input tokens and $0.250 per million output tokens, for a blended reference rate of $0.250 per million tokens.

What is Codestral Mamba's context window?

Codestral Mamba supports up to 256,000 tokens of context in a single request.

What is Codestral Mamba best for?

Codestral Mamba is well suited to Mamba (SSM) architecture, Linear-time long context and Open weights.

Who makes Codestral Mamba?

Codestral Mamba is developed and served by Mistral. It was released in Jul 2024.

Terms used on this page