LiteLLMModels

Mixtral 8x7B Instruct HF API Pricing

As of October 10, 2026, Mixtral 8x7B Instruct HF costs $0.50 per 1M input tokens and $0.50 per 1M output tokens on Fireworks AI. It has a 32,768-token context window and returns up to 32,768 tokens per response.

By Mistral AIModel ID fireworks_ai/accounts/fireworks/models/mixtral-8x7b-instruct-hfPrices updated Checked
Input
$0.50 / 1M tokens
Output
$0.50 / 1M tokens
Context window
32,768 tokens
Max output
32,768 tokens
Providers
1
Added to LiteLLM
December 2025

Mixtral 8x7B Instruct HF 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 AIfireworks_ai/accounts/fireworks/models/mixtral-8x7b-instruct-hf$0.50$0.5032K

What Mixtral 8x7B Instruct HF costs in practice

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

Fireworks AI$1.25

Use Mixtral 8x7B Instruct HF with LiteLLM

Call Mixtral 8x7B Instruct HF 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/mixtral-8x7b-instruct-hf",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: mixtral-8x7b-instruct-hf
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/mixtral-8x7b-instruct-hf
      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": "mixtral-8x7b-instruct-hf",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Mixtral 8x7B Instruct HF FAQ

How much does Mixtral 8x7B Instruct HF cost?

Mixtral 8x7B Instruct HF costs $0.50 per 1M input tokens and $0.50 per 1M output tokens on Fireworks AI.

What is the context window of Mixtral 8x7B Instruct HF?

Mixtral 8x7B Instruct HF has a 32,768-token context window and returns up to 32,768 tokens per response.

Which providers offer Mixtral 8x7B Instruct HF?

Mixtral 8x7B Instruct HF is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/mixtral-8x7b-instruct-hf.

How do I call Mixtral 8x7B Instruct HF with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/mixtral-8x7b-instruct-hf", 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 Mixtral 8x7B Instruct HF?

Mixtral 8x7B Instruct HF 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.