Mistral · Balanced

Codestral 2508

Added Aug 1, 2025

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

Side by side

Codestral 2508 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Codestral 2508MistralThis model	Moondream 3 PreviewmoondreamRemove
Provider	Mistral	moondream
Discovery tier	Balanced	Balanced
Added	Aug 1, 2025	Oct 16, 2026
Context window	256KBest	32K
Max output	32.77KBest	4.1K
Average output	124 tokens	94 tokens
Pricing, USD per 1M tokens
Input	$0.30	$0.30
Output	$0.90Best	$2.50
Capabilities
Reasoning	No	Yes
Vision	No	Yes
Reasoning effort	—	—

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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