Mistral NeMo Instruct (2407) on Replicate API

Mistral NeMo · MistralAI

Serverless
Open Source

Last refreshed 2026-10-26. Next refresh: weekly.

Why use Mistral NeMo Instruct (2407) on Replicate API?

Replicate API offers Mistral NeMo Instruct (2407) with pay-as-you-go pricing at $0.45/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.

Compare Mistral NeMo Instruct (2407) across 12 providers to find the best fit for your use case
Input / 1M
$0.45
Output / 1M
$0.45
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install replicate
Auth
export REPLICATE_API_TOKEN=...
Call
import replicate
output = replicate.run(
    "mistral-nemo-instruct",
    input={"prompt": "Hello"}
Model ID
mistral-nemo-instruct

Request example

import replicate

# reads REPLICATE_API_TOKEN from env
# mistral-nemo-instruct format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "mistral-nemo-instruct",
    input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))

Gotchas

  • Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
  • The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.

Compare Mistral NeMo Instruct (2407) Across Providers

ProviderInput (per 1M)Output (per 1M)
NVIDIA NIM——
Microsoft Foundry$0.30$0.30
DeepInfra$0.02$0.04
Mistral AI Studio$0.15$0.15
OpenRouter$0.15$0.15
View all 12 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.45
Output tokens$0.45

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.

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