Last refreshed 2026-06-15. Next refresh: weekly.
Why use Mistral NeMo Instruct (2407) on DeepInfra?
DeepInfra offers Mistral NeMo Instruct (2407) with pay-as-you-go pricing at $0.02/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Mistral NeMo Instruct (2407) across 7 providers to find the best fit for your use caseInput / 1M
$0.020
Output / 1M
$0.040
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export DEEPINFRA_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],Model ID
mistralai/Mistral-Nemo-Instruct-2407Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="mistralai/Mistral-Nemo-Instruct-2407",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "mistralai/Mistral-Nemo-Instruct-2407", not the LLMReference slug "mistral-nemo-instruct".
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
Compare Mistral NeMo Instruct (2407) Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Microsoft Foundry | $0.30 | $0.30 |
| DeepInfra | $0.02 | $0.04 |
| Fireworks AI | $0.90 | $0.90 |
| Arcee AI | $0.15 | $0.45 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.02 |
| Output tokens | $0.04 |
Capabilities
No model capability flags are currently sourced.
About Mistral NeMo Instruct (2407)
Mistral NeMo Instruct (2407) is MistralAI's Mistral NeMo model. It offers a 128K-token context window and scores 57.1 on GPQA.
Get Started
Model Specs
Released2024-07-18
Parameters12B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2024-04