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Codestral Mamba Pricing 2026

Complete pricing guide for Codestral Mamba — plans, costs, and free options.

FreeFree to useUpdated June 15, 2026

💰 Codestral Mamba Pricing Overview

Codestral Mamba uses a free pricing model. Completely free to use with no paid plans. Current pricing: Open weights on Hugging Face (mistralai/mamba-codestral-7B-v0.1) — free to download and self-host under Apache 2.0. Also available via Mistral La Plateforme API as codestral-mamba-2407 alongside Codestral 22B. Deploy locally via mistral-inference SDK or TensorRT-LLM.. Codestral Mamba is a popular llm-apis tool known for mistral's 7b mamba-architecture coding model — linear-time inference, 256k context, apache 2.0. You can get started with Codestral Mamba for free and upgrade to a paid plan as your needs grow.

🔍 Compare Before You Buy

Comparing Codestral Mamba to similar tools helps you make the best choice for your budget and needs:

Codestral 25.08

Paid

Mistral's low-latency code completion model — FIM, 80+ languages, 256k context

Free plan + paid from $0.3/month

Compare with Codestral Mamba

Codestral Mamba Plans & Pricing

Most Popular

Plan

Open weights on Hugging Face (mistralai/mamba-codestral-7B-v0.1) — free to download and self-host under Apache 2.0. Also available via Mistral La Plateforme API as codestral-mamba-2407 alongside Codestral 22B. Deploy locally via mistral-inference SDK or TensorRT-LLM.

* Pricing information is based on publicly available data and may not reflect current promotions, annual discounts, or regional pricing. Visit the official Codestral Mamba website for the latest pricing.

Is Codestral Mamba Free?

Yes, Codestral Mamba offers a free plan

Codestral Mamba is completely free to use. There are no hidden costs, no premium tiers, and no paywalls. Everything the tool offers is available at no charge, making it accessible to individuals, students, and organizations of all sizes.

Is Codestral Mamba Worth It?

Codestral Mamba is a free llm-apis tool that offers 9 key features including Mamba (SSM) architecture: linear-time inference — response latency stays flat as context length grows, 256k-token in-context retrieval tested — handles full codebases in a single context window, 7,285,403,648 parameters — instructed model optimized for code generation and reasoning. Mistral AI's 7B Mamba-architecture coding model released July 2024. Unlike transformer-based models, Codestral Mamba uses a state space model (SSM) backbone for linear-time inference — meaning latency doesn't grow with context length. Tested up to 256k tokens in-context. Performs on par with SOTA transformer models on code benchmarks at release. Open weights on Hugging Face under Apache 2.0. Available on La Plateforme as codestral-mamba-2407. Co-designed with Mamba authors Albert Gu and Tri Dao.

Codestral Mamba is a good choice if you need:

  • Mamba (SSM) architecture: linear-time inference — response latency stays flat as context length grows
  • 256k-token in-context retrieval tested — handles full codebases in a single context window
  • 7,285,403,648 parameters — instructed model optimized for code generation and reasoning
  • Performs on par with SOTA transformer-based models on code benchmarks at release (July 2024)
  • Apache 2.0 license — full commercial use, fine-tuning, and redistribution permitted

💡 Value Assessment

With a free tier available, Codestral Mamba is an easy recommendation for anyone looking to try llm-apis tools without financial commitment. The paid plans offer good value for power users who need the additional features and higher usage limits.

Codestral Mamba Key Features

Codestral Mamba comes packed with features that make it a strong contender in the llm-apis space. Here's what you get:

1.
Mamba (SSM) architecture: linear-time inference — response latency stays flat as context length grows

Available in the free plan with limits — Mamba (SSM) architecture: linear-time inference — response latency stays flat as context length grows helps you work more efficiently with Codestral Mamba.

2.
256k-token in-context retrieval tested — handles full codebases in a single context window

Available in the free plan with limits — 256k-token in-context retrieval tested — handles full codebases in a single context window helps you work more efficiently with Codestral Mamba.

3.
7,285,403,648 parameters — instructed model optimized for code generation and reasoning

Powered by advanced AI models, Codestral Mamba delivers intelligent code generation capabilities.

4.
Performs on par with SOTA transformer-based models on code benchmarks at release (July 2024)

Available in the free plan with limits — Performs on par with SOTA transformer-based models on code benchmarks at release (July 2024) helps you work more efficiently with Codestral Mamba.

5.
Apache 2.0 license — full commercial use, fine-tuning, and redistribution permitted

Available in the free plan with limits — Apache 2.0 license — full commercial use, fine-tuning, and redistribution permitted helps you work more efficiently with Codestral Mamba.

6.
Available on Mistral La Plateforme as codestral-mamba-2407 — no self-hosting required for testing

Powered by advanced AI models, Codestral Mamba delivers intelligent code generation capabilities.

7.
Deploy via mistral-inference SDK, TensorRT-LLM, or llama.cpp (community support)

Available in the free plan with limits — Deploy via mistral-inference SDK, TensorRT-LLM, or llama.cpp (community support) helps you work more efficiently with Codestral Mamba.

8.
Download raw weights from Hugging Face — compatible with local inference pipelines

Available in the free plan with limits — Download raw weights from Hugging Face — compatible with local inference pipelines helps you work more efficiently with Codestral Mamba.

9.
Co-designed with Mamba authors Albert Gu and Tri Dao — architecturally grounded in SSM research

Search and browse capabilities help you find what you need quickly.

Codestral Mamba Alternatives & Their Pricing

Considering alternatives to Codestral Mamba? Here's how competing tools compare on pricing:

Codestral 25.08

Paid

Mistral's low-latency code completion model — FIM, 80+ languages, 256k context

Pricing: Premier (proprietary) model. API pricing: $0.3/M input tokens, $0.9/M output tokens. Access via Mistral La Plateforme API. No open-weights release — API only. Free tier available on mistral.ai for limited personal use.

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Frequently Asked Questions

Is Codestral Mamba free to use?

Yes, Codestral Mamba offers a free tier that you can use without paying. Paid plans starting at Open weights on Hugging Face (mistralai/mamba-codestral-7B-v0.1) — free to download and self-host under Apache 2.0. Also available via Mistral La Plateforme API as codestral-mamba-2407 alongside Codestral 22B. Deploy locally via mistral-inference SDK or TensorRT-LLM. unlock additional features and higher usage limits.

How much does Codestral Mamba cost in 2026?

As of 2026, Codestral Mamba pricing is: Open weights on Hugging Face (mistralai/mamba-codestral-7B-v0.1) — free to download and self-host under Apache 2.0. Also available via Mistral La Plateforme API as codestral-mamba-2407 alongside Codestral 22B. Deploy locally via mistral-inference SDK or TensorRT-LLM.. Pricing may vary based on billing cycle (monthly vs annual) and region. Visit the official Codestral Mamba website for the most current pricing.

What is the cheapest Codestral Mamba plan?

The cheapest option is the free tier. If you need premium features, the most affordable paid plan is Plan at Open weights on Hugging Face (mistralai/mamba-codestral-7B-v0.1) — free to download and self-host under Apache 2.0. Also available via Mistral La Plateforme API as codestral-mamba-2407 alongside Codestral 22B. Deploy locally via mistral-inference SDK or TensorRT-LLM..

What are the best alternatives to Codestral Mamba?

Popular alternatives to Codestral Mamba include Codestral 25.08. Each offers different features and pricing structures. Compare them on AISO Tools to find the best fit for your needs and budget.

Is Codestral Mamba worth the price?

Codestral Mamba is well-regarded in the llm-apis space, offering features like Mamba (SSM) architecture: linear-time inference — response latency stays flat as context length grows, 256k-token in-context retrieval tested — handles full codebases in a single context window, 7,285,403,648 parameters — instructed model optimized for code generation and reasoning. Whether it's worth the investment depends on your specific needs, usage volume, and budget. The free tier lets you try it before committing to a paid plan.

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