per 1M tokens
mistralai/Mistral-Nemo-Instruct-2407
deepinfra/mistralai/Mistral-Nemo-Instruct-2407
12B model trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.
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.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| DeepInfra | — | — | $0.029/1M | $0.03/1M | 131K | — | Listed | deepinfra |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$0.06 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.029/1M | $0.03/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.019 | $0.03 | Not published— |
| 2026-10-09 | token | $0.029 | $0.03 | Not published— |
| 2026-10-10 | token | $0.029 | $0.03 | Not published— |
| 2026-10-11 | token | $0.029 | $0.03 | Not published— |
| 2026-10-12 | token | $0.029 | $0.03 | Not published— |
| 2026-10-13 | token | $0.029 | $0.03 | Not published— |
| 2026-10-14 | token | $0.029 | $0.03 | Not published— |
| 2026-10-15 | token | $0.029 | $0.03 | Not published— |
| 2026-10-16 | token | $0.029 | $0.03 | Not published— |
| 2026-10-17 | token | $0.029 | $0.03 | Not published— |
| 2026-10-18 | token | $0.029 | $0.03 | Not published— |
| 2026-10-19 | token | $0.029 | $0.03 | Not published— |
| 2026-10-20 | token | $0.029 | $0.03 | Not published— |
| 2026-10-21 | token | $0.029 | $0.03 | Not published— |
| 2026-10-22 | token | $0.029 | $0.03 | Not published— |
| 2026-10-23 | token | $0.029 | $0.03 | Not published— |
| 2026-10-24 | token | $0.029 | $0.03 | Not published— |
| 2026-10-25 | token | $0.029 | $0.03 | Not published— |
| 2026-10-26 | token | $0.029 | $0.03 | Not published— |
| 2026-10-27 | token | $0.029 | $0.03 | Not published— |
| 2026-10-28 | token | $0.029 | $0.03 | Not published— |
| 2026-10-29 | token | $0.029 | $0.03 | Not published— |
| 2026-10-30 | token | $0.029 | $0.03 | Not published— |
Alternatives
- Mistral: Mistral Nemo$0.029/1M · Compare
- OpenAI: gpt-oss-120b (batch)$0.0296/1M · Compare
- DeepSeek OCR 2$0.03/1M · Compare
- inference-net/schematron-v2-turbo$0.03/1M · Compare
- Inference.net: Schematron V2 Turbo$0.03/1M · Compare
- openai/gpt-oss-20b$0.03/1M · Compare
Parameters (1)
chat
Call this model
OpenRouter id deepinfra/mistralai/Mistral-Nemo-Instruct-2407. 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-Nemo-Instruct-2407","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-Nemo-Instruct-2407",
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-Nemo-Instruct-2407", "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())