Mistral: Codestral 2508

Public pricingIntelligence 79/100Large memory工具调用

Mistral: Codestral 2508 是一款文本模型，适合编码、调试和技术工作。它结合了强大的编码能力、低延迟与高效推理、256K tokens上下文和低成本定位，可在coding, debugging, and technical writing中提供可靠表现。它适合重视延迟、成本与吞吐的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.30/1M

Output

$0.90/1M

Cached

$0.03/1M

Batch

$0.15/1M

Calculate your Codestral 2508 bill.

Set your workload — see cost at your exact volume.

What would Codestral 2508 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Codestral 2508 at a glance.

Memory

256,000

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

mistral

Released

Aug 2025

Training cutoff

Mar 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • humaneval

    81

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Codestral 2508

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Codestral 2508 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Codestral 2508 costs roughly $59 per month. Input is $0.30 /1M tokens and output is $0.90 /1M tokens.
Codestral 2508 has a 256,000-token context window (large memory — an entire book or large codebase). That means you can fit about 48,000 words of input and history in a single call.
Beyond text generation, Codestral 2508 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Codestral 2508 was released in August 2025, with training data cut off around March 2025.
Models in a similar class include Gemini 2.5 Flash, Claude 3 Haiku, Gemini 3.1 Flash Lite Preview. The "Similar models" section below this FAQ links into each.

Still unsure?

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