MiniMax M2 API Pricing

As of October 10, 2026, MiniMax M2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on MiniMax, with cache reads at $0.03 and cache writes at $0.375 per 1M tokens. It has a 200,000-token context window and returns up to 8,192 tokens per response.

By MiniMaxModel ID minimax/MiniMax-M2Prices updated October 10, 2026Checked October 10, 2026

Input: $0.30 / 1M tokens
Output: $1.20 / 1M tokens
Cache read: $0.03 / 1M tokens
Context window: 200,000 tokens
Max output: 8,192 tokens
Providers: 5
Added to LiteLLM: November 2025

MiniMax M2 pricing by provider

5 listings across 5 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

Provider	Model name in LiteLLM	Input	Output	Cache read	Cache write	Context
MiniMax	`minimax/MiniMax-M2`	$0.30	$1.20	$0.03	$0.375	200K
Amazon Bedrock	`minimax.minimax-m2`	$0.30	$1.20	–	–	1M
Fireworks AI	`fireworks_ai/accounts/fireworks/models/minimax-m2`	$0.30	$1.20	–	–	4K
Google Vertex AI	`vertex_ai/minimaxai/minimax-m2-maas`	$0.30	$1.20	$0.03	–	192K
Novita AI	`novita/minimax/minimax-m2`	$0.30	$1.20	$0.03	–	200K

What MiniMax M2 costs in practice

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

MiniMax	$1.20
Amazon Bedrock	$1.20
Fireworks AI	$1.20
Google Vertex AI	$1.20

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

MiniMax	$3.24
Amazon Bedrock	$3.24
Fireworks AI	$3.24
Google Vertex AI	$3.24

MiniMax M2 features

Function calling
Parallel tool calls
Structured output
Reasoning
Prompt caching

Use MiniMax M2 with LiteLLM

Call MiniMax M2 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="minimax/MiniMax-M2",
    messages=[{"role": "user", "content": "Hello!"}],
)

Proxy config.yaml

model_list:
  - model_name: minimax-m2
    litellm_params:
      model: minimax/MiniMax-M2
      # credentials: see the provider's LiteLLM docs page

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": "minimax-m2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

MiniMax M2 FAQ

How much does MiniMax M2 cost?

MiniMax M2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on MiniMax, with cache reads at $0.03 and cache writes at $0.375 per 1M tokens.

What is the context window of MiniMax M2?

MiniMax M2 has a 200,000-token context window and returns up to 8,192 tokens per response.

Which providers offer MiniMax M2?

MiniMax M2 is available from 5 providers through LiteLLM: MiniMax, Amazon Bedrock, Fireworks AI, Google Vertex AI and Novita AI.

How do I call MiniMax M2 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="minimax/MiniMax-M2", 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 M2 support?

MiniMax M2 supports function calling, parallel tool calls, structured output, reasoning and prompt caching.

When did LiteLLM add MiniMax M2?

MiniMax M2 was added to LiteLLM's model price file in November 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. Provider pricing pages:

LiteLLM docs: MiniMax, Amazon Bedrock, Fireworks AI, Google Vertex AI.

Provider pages: MiniMax, Amazon Bedrock, Fireworks AI, Google Vertex AI, Novita AI.