Mistral: Codestral Embed 2505

mistralai/codestral-embed-2505

Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-of-the-art retrieval.

Modalities: text->embeddings
In / out price: $0.15 / $0per 1M
Context: 8K
Released: Oct 30, 2025
Knowledge cutoff: —

Providers

Every request enters through InfAPI. One key calls every model in the catalog. Upstream groups, ratios, and tiers are not shown.

Endpoint	Input	Output	Context	Status
InfAPI	$0.15	$0	8K	Available

Input: Text
Output: Embeddings
Tokenizer: Mistral
Max output: 6,553
Endpoint: Embeddings

Pricing

Listed price for this model on this gateway. Token prices are per 1M tokens.

Item	Price	Unit
Inputprompt	$0.15	per 1M tokens
Outputcompletion	$0	per 1M tokens

API

The gateway speaks the OpenAI Chat Completions API. Point any compatible SDK at https://infapi.cc/v1 and send the model slug below.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use mistralai/codestral-embed-2505

Python

import requests

response = requests.post(
    "https://infapi.cc/v1/chat/completions",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "mistralai/codestral-embed-2505",
        "messages": [
            {
                "role": "user",
                "content": "Introduce yourself in three sentences."
            }
        ]
    },
)
response.raise_for_status()
print(response.json()["choices"][0]["message"]["content"])

Endpoint

POST https://infapi.cc/v1/chat/completions

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

response = client.chat.completions.create(
    model="mistralai/codestral-embed-2505",
    messages=[{"role": "user", "content": "Introduce yourself in three sentences."}],
)
print(response.choices[0].message.content)

TypeScript (OpenAI)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://infapi.cc/v1",
  apiKey: "$INFAPI_API_KEY",
});

const response = await client.chat.completions.create({
  "model": "mistralai/codestral-embed-2505",
  "messages": [
    {
      "role": "user",
      "content": "Introduce yourself in three sentences."
    }
  ]
});

console.log(response.choices[0]?.message?.content);

Supported parameters

This model does not publish a parameter list.

FAQ

What is this model?

Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-…

How much does it cost?

$0.15 / $0

What inputs and outputs does it support?

text->embeddings

When was it released?

Oct 30, 2025

Try this model

Endpoint

Input

Output

Context

Status

InfAPI

$0.15

Available

Item

Price

Unit

Inputprompt

$0.15

per 1M tokens

Outputcompletion

per 1M tokens

API

The gateway speaks the OpenAI Chat Completions API. Point any compatible SDK at https://infapi.cc/v1 and send the model slug below.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use mistralai/codestral-embed-2505

Python

import requests

response = requests.post(
    "https://infapi.cc/v1/chat/completions",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "mistralai/codestral-embed-2505",
        "messages": [
            {
                "role": "user",
                "content": "Introduce yourself in three sentences."
            }
        ]
    },
)
response.raise_for_status()
print(response.json()["choices"][0]["message"]["content"])

Endpoint

POST https://infapi.cc/v1/chat/completions

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

response = client.chat.completions.create(
    model="mistralai/codestral-embed-2505",
    messages=[{"role": "user", "content": "Introduce yourself in three sentences."}],
)
print(response.choices[0].message.content)

TypeScript (OpenAI)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://infapi.cc/v1",
  apiKey: "$INFAPI_API_KEY",
});

const response = await client.chat.completions.create({
  "model": "mistralai/codestral-embed-2505",
  "messages": [
    {
      "role": "user",
      "content": "Introduce yourself in three sentences."
    }
  ]
});

console.log(response.choices[0]?.message?.content);

Supported parameters

This model does not publish a parameter list.