LiteLLMModels

Mistral Nemo Base API Pricing

As of October 10, 2026, Mistral Nemo Base costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI. It has a 128,000-token context window and returns up to 128,000 tokens per response.

By Mistral AIModel ID fireworks_ai/accounts/fireworks/models/mistral-nemo-base-2407Prices updated Checked
Input
$0.20 / 1M tokens
Output
$0.20 / 1M tokens
Context window
128,000 tokens
Max output
128,000 tokens
Providers
1
Added to LiteLLM
December 2025

Mistral Nemo Base pricing by provider

1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
Fireworks AIsnapshot 2407fireworks_ai/accounts/fireworks/models/mistral-nemo-base-2407$0.20$0.20128K

What Mistral Nemo Base costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Fireworks AI$0.50

100 long-document requests with 100,000 input and 2,000 output tokens each

Fireworks AI$2.04

Use Mistral Nemo Base with LiteLLM

Call Mistral Nemo Base through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="fireworks_ai/accounts/fireworks/models/mistral-nemo-base-2407",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: mistral-nemo-base
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/mistral-nemo-base-2407
      api_key: os.environ/FIREWORKS_AI_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "mistral-nemo-base",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Mistral Nemo Base FAQ

How much does Mistral Nemo Base cost?

Mistral Nemo Base costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI.

What is the context window of Mistral Nemo Base?

Mistral Nemo Base has a 128,000-token context window and returns up to 128,000 tokens per response.

Which providers offer Mistral Nemo Base?

Mistral Nemo Base is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/mistral-nemo-base-2407.

How do I call Mistral Nemo Base with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/mistral-nemo-base-2407", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

When did LiteLLM add Mistral Nemo Base?

Mistral Nemo Base was added to LiteLLM's model price file in December 2025.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.

LiteLLM docs: Fireworks AI.

Provider pages: Fireworks AI.