Pricing

default

Standard Rate

Input$0.315/1M tokensCompletion Price$1.26/1M tokensCache Read$0.063/1M tokensCache Write$0.394506/1M tokens

Public list prices are shown in USD. Final charges may vary by account group and usage tier.

API

Code examples

curl --location --request POST 'https://api.tokenhot.ai/v1/chat/completions' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "MiniMax-M2.7",
    "messages": [
        {
            "role": "user",
            "content": "What model are you"
        }
    ]
}'

MiniMax

Related models

MiniMaxM2.7 Highspeed

Built for text generation, reasoning, and tool use, with stronger 200K long-context and agentic workflow stability than earlier MiniMax M2.x versions. Compared with Chinese peers such as Kimi, GLM, and Qwen, it fits productivity, coding assistance, and long-document processing.

$0.63/1M tokens MiniMaxM3

Built for long-horizon coding, tool use, and multi-turn production collaboration, extending beyond MiniMax M2.7 with multimodal inputs while keeping a 1M-token context window. Compared with Claude, Gemini, and GLM-5.2 long-context agent models, it is better for putting text, image, and video materials into one workflow.

$1.26/1M tokens MiniMaxM2.5

A cost-efficient model for real productivity agents, strongest in coding, tool use, search, and office-style deliverables rather than casual chat alone. It fits agents that plan and execute cross-file changes, research retrieval, and document/spreadsheet/presentation workflows; versus more expensive flagships, the main tradeoff is lower cost for near-frontier execution efficiency.

$0.302/1M tokens MiniMaxH3$0.08/s

FAQ

Frequently asked questions

What is M2.7 best suited for?

M2.7 is suited to the input, output, and capability types listed on this page. Test production workloads before choosing it for a critical system.

How is M2.7 priced?

Pricing is shown in the pricing section above. Actual cost depends on usage volume, account group, and the request payload.

How can I call M2.7?

Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.

Get started

Build with M2.7

Use in Console