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mistral
mistralai/codestral-2508

mistralai/codestral-2508

256,000 context · $0.30/M input tokens · $0.90/M output tokens

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. Blog Post

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$0.30 / M Tokens
Output$0.90 / M Tokens

Try the model

mistralai/codestral-2508
Online
mistral
Hi! I am a helpful AI assistant. What can I do for you?

API Usage

Use the following code examples to integrate with our API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="mistralai/codestral-2508",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Model Introduction

Mistralai codestral-2508

mistralai codestral-2508


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 256000 context window for long document handling
  • Competitive pricing at $0.3/$0.10 per million tokens

Key Features

  • Context Window: 256000 tokens
  • Max Output: 4096 tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderMistralai
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window256000 tokens
Max Output4096 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$0.3
Output$0.10

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: mistralai/codestral-2508


API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="mistralai/codestral-2508",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "mistralai/codestral-2508",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: mistralai/codestral-2508
  • Provider: Mistralai

Info

Providermistral
Typellm

Supported Functionality

Input
Text
Output
Text
Context256,000
Max Output4,096
Vision-
Function Calling✓ Supported

API Access Guide

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDmistralai/codestral-2508

Codestral 2508 API

mistralai/codestral-2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

Input

$0.3 /M

Output

$0.9 /M

Context

256K

Max Output

4K

Tool Use

Supported

Try Codestral 2508 on WaveSpeedAI

Access Codestral 2508 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.

Frequently Asked Questions about Codestral 2508

How much does Codestral 2508 cost via the API?+

Pricing on WaveSpeedAI: $0.30 per million input tokens and $0.90 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.

What is the context window of Codestral 2508?+

Codestral 2508 supports up to 256K tokens of context with up to 4K tokens of output per request.

Is Codestral 2508 OpenAI-compatible?+

Yes. WaveSpeedAI exposes Codestral 2508 through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.

How do I get started with Codestral 2508?+

Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Codestral 2508 before paying per token.

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