LiteLLMModels

MiniMax M3p1 Flash API Pricing

By MiniMax · 1 providerfireworks_ai/accounts/fireworks/models/minimax-m3p1-flashCompare
Input / output
$0.15 / $0.60 per 1M tokens
Cache read
$0.015 / 1M
Context
1M tokens
Max output
1M tokens

As of October 21, 2026, MiniMax M3p1 Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens on Fireworks AI, with cache reads at $0.015 per 1M tokens. It has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.

Prices updated Checked

MiniMax M3p1 Flash 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.

MiniMax M3p1 Flash prices by provider in US dollars, token prices per 1M tokens, as of October 21, 2026. Source: LiteLLM model price file.
ProviderModel name in LiteLLMInputOutputCache readContext
Fireworks AIfireworks_ai/accounts/fireworks/models/minimax-m3p1-flash$0.15$0.60$0.0151M

Other MiniMax M3p1 Flash prices on Fireworks AI

Priority input$0.225 per 1M tokens
Priority output$0.90 per 1M tokens

What MiniMax M3p1 Flash costs in practice

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

Fireworks AI$0.60

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

Fireworks AI$1.62

MiniMax M3p1 Flash cost calculator

At Fireworks AI's price ($0.15 input, $0.60 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $4.50 a day, about $135 a month. Change the numbers for your workload, or compare it with other models.

Per request
$0.00045
Per day
$4.50
Per month (30 days)
$135

MiniMax M3p1 Flash features

Use MiniMax M3p1 Flash with LiteLLM

Call MiniMax M3p1 Flash 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/minimax-m3p1-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: minimax-m3p1-flash
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/minimax-m3p1-flash
      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 $LITELLM_API_KEY" \
  -d '{
    "model": "minimax-m3p1-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

MiniMax M3p1 Flash FAQ

How much does MiniMax M3p1 Flash cost?

MiniMax M3p1 Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens on Fireworks AI, with cache reads at $0.015 per 1M tokens.

What is the context window of MiniMax M3p1 Flash?

MiniMax M3p1 Flash has a 1,048,576-token context window and returns up to 1,048,576 tokens per response.

Which providers offer MiniMax M3p1 Flash?

MiniMax M3p1 Flash is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/minimax-m3p1-flash.

How do I call MiniMax M3p1 Flash with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/minimax-m3p1-flash", 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.

What features does MiniMax M3p1 Flash support?

MiniMax M3p1 Flash supports function calling, structured output, image input and reasoning.

When did LiteLLM add MiniMax M3p1 Flash?

MiniMax M3p1 Flash was added to LiteLLM's model price file on October 19, 2026.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:

LiteLLM docs: Fireworks AI.

Provider pages: Fireworks AI.