Mistral: Codestral 25.08
Mistral code model for low-latency completion, fill-in-the-middle, and code generation
- Model lab
- Mistral
- Model family
- codestral
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/mistral-ai/codestral-2508.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/mistral-ai/codestral-2508"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
Codestral 25.08 API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.24 / 1M tokens |
| Output | USD 0.72 / 1M tokens |
| Cached input | USD 0.024 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
Codestral 25.08 Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Codestral 25.08This page | USD 0.24 / 1M tokens | USD 0.72 / 1M tokens | 128,000 | Text output · Tool calling |
| Codestral (latest) | USD 0.24 / 1M tokens | USD 0.72 / 1M tokens | 256,000 | Text output · Tool calling |
| Codestral-22B-v0.1 | USD 0.24 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens | USD 0.72 / 1M tokens · Context ≤ 128000 tokens · Maximum output 4000 tokens | 32,768 | Text output |
| Devstral 2 | USD 0.32 / 1M tokens | USD 1.6 / 1M tokens | 262,144 | Text output · Tool calling |
| Devstral 2 (latest) | USD 0.32 / 1M tokens | USD 1.6 / 1M tokens | 262,144 | Text output · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 128,000
- Maximum output
- 8,192
- Release date
- 2025-07-30
- Attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Temperature setting
- Yes
- Open weights
- No
Frequently asked questions
What is Codestral 25.08 for?
Mistral code model for low-latency completion, fill-in-the-middle, and code generation
What inputs and outputs does Codestral 25.08 support?
Recorded inputs: text; outputs: text.
How is Codestral 25.08 priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.24 / 1M tokens; Output USD 0.72 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Codestral 25.08?
Current model records list Context window 128,000 tokens; Maximum output 8,192 tokens.
What model parameter does the Quickstart use?
The example uses moduck/mistral-ai/codestral-2508. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.