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Mistral · Balanced

Codestral 2508

Added Aug 1, 2025

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Use in the app

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.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.30
Output
$0.90

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
32.8K
Average output (7 days)
124 tokens
Longer than 12% of 468 models

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Codestral 2508 compared

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Codestral 2508MistralThis modelMistral Medium 3.5MistralRemove
ProviderMistralMistral
Discovery tierBalancedOpen weights
AddedAug 1, 2025Apr 29, 2026
Limits
Context window256K256K
Max output32.77K32.77K
Average output124 tokens—
Pricing, USD per 1M tokens
Input$0.30Best$1.50
Output$0.90Best$7.50
Performance
Request success (24h)—100.0%
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
Reasoning effort—none, high

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/codestral-2508",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="mistralai/codestral-2508",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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