MiniMax M2.7 Highspeed API Pricing
As of October 10, 2026, MiniMax M2.7 Highspeed costs $0.60 per 1M input tokens and $2.40 per 1M output tokens on Novita AI, with cache reads at $0.06 per 1M tokens. It has a 204,800-token context window and returns up to 131,072 tokens per response.
- Input
- $0.60 / 1M tokens
- Output
- $2.40 / 1M tokens
- Cache read
- $0.06 / 1M tokens
- Context window
- 204,800 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- August 27, 2026
MiniMax M2.7 Highspeed 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.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Novita AI | novita/minimax/minimax-m2.7-highspeed | $0.60 | $2.40 | $0.06 | 200K |
What MiniMax M2.7 Highspeed costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Novita AI | $2.40 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Novita AI | $6.48 |
MiniMax M2.7 Highspeed features
- Function calling
- Structured output
- Image input
- Reasoning
- Prompt caching
Use MiniMax M2.7 Highspeed with LiteLLM
Call MiniMax M2.7 Highspeed 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.
from litellm import completion
response = completion(
model="novita/minimax/minimax-m2.7-highspeed",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: minimax-m2.7-highspeed
litellm_params:
model: novita/minimax/minimax-m2.7-highspeed
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "minimax-m2.7-highspeed",
"messages": [{"role": "user", "content": "Hello!"}]
}'MiniMax M2.7 Highspeed FAQ
How much does MiniMax M2.7 Highspeed cost?
MiniMax M2.7 Highspeed costs $0.60 per 1M input tokens and $2.40 per 1M output tokens on Novita AI, with cache reads at $0.06 per 1M tokens.
What is the context window of MiniMax M2.7 Highspeed?
MiniMax M2.7 Highspeed has a 204,800-token context window and returns up to 131,072 tokens per response.
Which providers offer MiniMax M2.7 Highspeed?
MiniMax M2.7 Highspeed is available from Novita AI through LiteLLM, using the model name novita/minimax/minimax-m2.7-highspeed.
How do I call MiniMax M2.7 Highspeed with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="novita/minimax/minimax-m2.7-highspeed", 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 M2.7 Highspeed support?
MiniMax M2.7 Highspeed supports function calling, structured output, reasoning and prompt caching. It does not support image input.
When did LiteLLM add MiniMax M2.7 Highspeed?
MiniMax M2.7 Highspeed was added to LiteLLM's model price file on August 27, 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. Provider pricing pages:
Provider pages: Novita AI.
