Mistral: Mistral Embed
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
- Model lab
- Mistral
- Model family
- mistral-embed
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to mistral/mistral-embed.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/mistral-embed"
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.
Mistral Embed API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.08 / 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.
Mistral Embed Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Mistral EmbedThis page | USD 0.08 / 1M tokens | Not billed on output | 8,000 | 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 |
| Codestral 25.08 | USD 0.24 / 1M tokens | USD 0.72 / 1M tokens | 128,000 | Text output · Tool calling |
| Magistral Small | USD 0.4 / 1M tokens · Context ≤ 128000 tokens · Maximum output 64000 tokens | USD 1.2 / 1M tokens · Context ≤ 128000 tokens · Maximum output 64000 tokens | 131,072 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- text
- Output
- text
- Context window
- 8,000
- Maximum output
- 3,072
- Release date
- 2023-12-11
- Attachments
- No
- Reasoning
- No
- Tool calling
- No
- Temperature setting
- No
- Open weights
- No
Frequently asked questions
What is Mistral Embed for?
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
What inputs and outputs does Mistral Embed support?
Recorded inputs: text; outputs: text.
How is Mistral Embed priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.08 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for Mistral Embed?
Current model records list Context window 8,000 tokens; Maximum output 3,072 tokens.
What model parameter does the Quickstart use?
The example uses mistral/mistral-embed. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.
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.
Related models
No related catalog models are recorded for this model family.