The most cost-effective specialized code model for production developer tooling with serious context capacity.
87
Coding
38
Writing
30
Research
0
Images
91
Value
82
Long Context
Use this when
High-volume code generation, completion, and refactoring tasks where cost efficiency and long-context handling matter most.
Skip this if
You need a model that handles general reasoning, writing, or multimodal inputs alongside code — a generalist like Claude Sonnet 4.5 or Gemini 2.5 Pro will serve you better.
Pricing
$0.30/1M in
$0.90/1M out
→0%since May 2026
Context
256k tokens
Speed
Fast
Available via Mistral's La Plateforme API. Also accessible through Continue.dev, Cursor, and other IDE integrations that support the Codestral endpoint. FIM (fill-in-the-middle) mode is specifically supported for autocomplete use cases. Output price rounds to ~$0.90/1M tokens.
Exceptionally low cost at $0.30/$0.90 per 1M tokens — far cheaper than GPT-4.1 or Claude Sonnet 4.5 for code tasks
256K context window enables full large codebase ingestion, making repo-level refactoring and code review practical
Purpose-built for code: trained across 80+ languages with strong fill-in-the-middle (FIM) completion support for IDE autocomplete
Meaningful upgrade over Codestral 25.01 with improved instruction following and multi-file reasoning
Weaknesses
Non-coding tasks like long-form writing, analysis, or research are outside its training focus and noticeably weaker than general-purpose models
No multimodal support — cannot process images, diagrams, or screenshots of code
Lags behind GPT-4.1 and Claude Sonnet 4.5 on complex algorithmic reasoning and competitive programming benchmarks
Real-world use cases
What people actually use Codestral 2508 for.
Autocomplete and fill-in-the-middle suggestions inside VS Code or JetBrains IDEs via Codestral API endpoint
Ingesting an entire monorepo (up to 256K tokens) to generate migration scripts or cross-file refactors
Generating boilerplate, unit tests, and docstrings for Python, TypeScript, or Rust projects at low per-token cost
How Codestral 2508 compares
The nearest models people weigh against it, and what actually separates them.
vs Devstral 2 2512 — Against Devstral 2 2512 (Mistral), Codestral 2508 runs about 50% cheaper per token and gives up 1x on context. Take Codestral 2508 unless you specifically need what Devstral 2 2512 does better.
vs Devstral Small 1.1 — Against Devstral Small 1.1 (Mistral), Codestral 2508 costs about 67% more per token and takes 2x the context. Devstral Small 1.1 is the one to check first if the price difference matters more than the ceiling.
vs Ministral 3 14B 2512 — Against Ministral 3 14B 2512 (Mistral), Codestral 2508 costs about 67% more per token, gives up 1x on context and answers slower. Ministral 3 14B 2512 is the one to check first if the price difference matters more than the ceiling.
Price History
Codestral 2508 pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using Codestral 2508
High-volume code generation, completion, and refactoring tasks where cost efficiency and long-context handling matter most.. Start free — no card required.
Devstral 2 2512 is Mistral's second-generation code-specialized model, built specifically for software development tasks with a 256K context window. It targets developers needing a cost-efficient coding assistant without sacrificing meaningful capability.
Verdict
A purpose-built coding workhorse that punches well above its price tag for development teams running high-volume or agentic pipelines.
Quality score
55%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
4/5 speed
Context
262k tokens
The December 2025 (2512) release date suggests this is a recent iteration. Pricing at $0.40 input / $2.00 output is notably competitive for a code-specialist model with 256K context. Verify availability and rate limits via Mistral API or partner providers.
Code-specialistBudgetLong contextAgenticMistral
Best for
Budget-conscious developers who need a capable coding model for agentic workflows, code generation, and repository-scale context at a fraction of flagship pricing.
Devstral Small 1.1 is Mistral's code-specialized small model, purpose-built for software engineering tasks including code generation, debugging, and repository-level reasoning. It succeeds Devstral Small 1.0 with improved instruction following and agentic coding capabilities at a fraction of flagship model costs.
Verdict
The best dollar-for-dollar coding model for agentic pipelines that doesn't need to do anything else.
Quality score
54%
Pricing
$0.10/1M in
$0.30/1M out
Speed
Fast
4/5 speed
Context
131k tokens
Available via Mistral API and can be self-hosted via open weights. Pricing is among the lowest available for a code-specialized model. Designed to work within coding agent frameworks like SWE-agent and OpenHands.
Ministral 3B is Mistral's compact edge-optimized model designed for high-throughput, low-latency tasks at an extremely competitive price point. Despite its small size, it supports a 262K context window, making it unusually capable for a sub-$0.20/1M token model.
Verdict
An ultra-cheap, fast model with a surprisingly large context window, but quality limitations make it a pipeline tool rather than a general assistant.
Quality score
48%
Pricing
$0.20/1M in
$0.20/1M out
Speed
Very fast
5/5 speed
Context
262k tokens
Model name suggests a December 2025 revision ('2512'). Pricing is symmetric at $0.20/1M for both input and output, which simplifies cost modeling. Confirm availability on your target API platform as Mistral model availability varies by provider.
budgetedgesmall modellong contexthigh throughput
Best for
High-volume, cost-sensitive workflows like document triage, classification, summarization, and lightweight coding assistance where budget is the primary constraint.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Codestral 2508 — added to UseRightAI
Mistral: Codestral 2508 (Mistral) is now indexed. It supersedes Codestral 25.01. The most cost-effective specialized code model for production developer tooling with serious context capacity.
Codestral 2508 costs $0.3 per million input tokens and $0.8999999999999999 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $4.80 at list price, before any batch or caching discounts.
What is Codestral 2508 best for?
Codestral 2508 is best for high-volume code generation, completion, and refactoring tasks where cost efficiency and long-context handling matter most.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Codestral 2508?
You need a model that handles general reasoning, writing, or multimodal inputs alongside code — a generalist like Claude Sonnet 4.5 or Gemini 2.5 Pro will serve you better.
What is a cheaper alternative to Codestral 2508?
Devstral Small 1.1 (Mistral) at $0.10/1M/1M input against Codestral 2508's $0.30/1M/1M — roughly 67% less per token all in. The best dollar-for-dollar coding model for agentic pipelines that doesn't need to do anything else. Compare it first if Codestral 2508's pricing is the thing stopping you.
What is a faster alternative to Codestral 2508?
Ministral 3 14B 2512 — very fast against Codestral 2508's fast, with 262k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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