per 1M tokens
mistralai/Mistral-Small-24B-Instruct-2501
deepinfra/mistralai/Mistral-Small-24B-Instruct-2501
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed for efficient local deployment. The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware.
Price
per 1M tokens
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
No provider prices yet.
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$0.13 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.05/1M | $0.08/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.05 | $0.08 | Not published— |
| 2026-10-09 | token | $0.05 | $0.08 | Not published— |
| 2026-10-10 | token | $0.05 | $0.08 | Not published— |
| 2026-10-11 | token | $0.05 | $0.08 | Not published— |
| 2026-10-12 | token | $0.05 | $0.08 | Not published— |
| 2026-10-13 | token | $0.05 | $0.08 | Not published— |
| 2026-10-14 | token | $0.05 | $0.08 | Not published— |
| 2026-10-15 | token | $0.05 | $0.08 | Not published— |
| 2026-10-16 | token | $0.05 | $0.08 | Not published— |
| 2026-10-17 | token | $0.05 | $0.08 | Not published— |
| 2026-10-18 | token | $0.05 | $0.08 | Not published— |
| 2026-10-19 | token | $0.05 | $0.08 | Not published— |
| 2026-10-20 | token | $0.05 | $0.08 | Not published— |
| 2026-10-21 | token | $0.05 | $0.08 | Not published— |
| 2026-10-22 | token | $0.05 | $0.08 | Not published— |
| 2026-10-23 | token | $0.05 | $0.08 | Not published— |
| 2026-10-24 | token | $0.05 | $0.08 | Not published— |
| 2026-10-25 | token | $0.05 | $0.08 | Not published— |
| 2026-10-26 | token | $0.05 | $0.08 | Not published— |
| 2026-10-27 | token | $0.05 | $0.08 | Not published— |
| 2026-10-28 | token | $0.05 | $0.08 | Not published— |
| 2026-10-29 | token | $0.05 | $0.08 | Not published— |
| 2026-10-30 | token | $0.05 | $0.08 | Not published— |
Alternatives
- Anthropic: Claude Haiku 5.5 (batch)$0.05/1M · Compare
- DeepSeek: DeepSeek V4.1 Flash (batch)$0.05/1M · Compare
- e2ee-qwen-2-5-7b-p$0.05/1M · Compare
- Gemma 3 12B$0.05/1M · Compare
- gemma-3-4b-it$0.05/1M · Compare
- google/gemma-3-12b-it$0.05/1M · Compare
Parameters (1)
chat
Call this model
OpenRouter id deepinfra/mistralai/Mistral-Small-24B-Instruct-2501. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepinfra/mistralai/Mistral-Small-24B-Instruct-2501","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepinfra/mistralai/Mistral-Small-24B-Instruct-2501",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "deepinfra/mistralai/Mistral-Small-24B-Instruct-2501", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())