Codestral Mamba Pricing 2026
Complete pricing guide for Codestral Mamba — plans, costs, and free options.
💰 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 llm apis & models tool known for mistral's 7b mamba-architecture coding model — linear-time inference, 256k context, apache 2.0. Codestral Mamba is free to use, with no paid plans.
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🔍 Compare Before You Buy
Comparing Codestral Mamba to similar tools helps you make the best choice for your budget and needs:
Codestral 25.08
PaidMistral's low-latency code completion model — FIM, 80+ languages, 256k context
Free plan + paid from $0.3
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Claim Now →Is Codestral Mamba Free?
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.
Check Codestral Mamba pricing at the source
The breakdown above is our summary of Codestral Mamba's published pricing, not a quote. Plans, limits and what each tier includes change without notice — confirm on Codestral Mamba's own pages before you buy.
Official Codestral Mamba site ↗We do not represent Codestral Mamba and these links are not paid placements.
Is Codestral Mamba Worth It?
Codestral Mamba is a free llm apis & models 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
Codestral Mamba is free, so it costs nothing to try it for llm apis & models work. There are no paid plans to compare.
Codestral Mamba Key Features
Codestral Mamba comes packed with features that make it a strong contender in the llm apis & models space. Here's what you get:
Mamba (SSM) architecture: linear-time inference — response latency stays flat as context length grows helps you work more efficiently with Codestral Mamba.
256k-token in-context retrieval tested — handles full codebases in a single context window helps you work more efficiently with Codestral Mamba.
Powered by advanced AI models, Codestral Mamba delivers intelligent code generation capabilities.
Performs on par with SOTA transformer-based models on code benchmarks at release (July 2024) helps you work more efficiently with Codestral Mamba.
Apache 2.0 license — full commercial use, fine-tuning, and redistribution permitted helps you work more efficiently with Codestral Mamba.
Available on Mistral La Plateforme as codestral-mamba-2407 — no self-hosting required for testing helps you work more efficiently with Codestral Mamba.
Deploy via mistral-inference SDK, TensorRT-LLM, or llama.cpp (community support) helps you work more efficiently with Codestral Mamba.
Download raw weights from Hugging Face — compatible with local inference pipelines helps you work more efficiently with Codestral Mamba.
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
PaidMistral'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.
Ready to try Codestral Mamba?
Visit the official website for the latest pricing and to get started.
Frequently Asked Questions
Is Codestral Mamba free to use?
Yes, Codestral Mamba is free to use. It has no paid plans.
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. Visit the official Codestral Mamba website for the most current pricing.
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 offers 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. It is free, so you can try it at no cost.
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