MiniMax

MiniMax M2.7

Name: MiniMax M2.7
Brand: MiniMax
Price: 0.405 USD
Availability: InStock

#6 on Kyma

MiniMax M2.7 is a text-only language model optimized for agentic workflows, coding, and debugging. Reach for it when you need reliable tool use and reasoning at a balanced cost tier.

Modalities

Text → Text

Input

$0.405 /1M

Output

$1.62 /1M

Context

205K

Speed

medium

Performance

Live production data from real requests on Kyma — not synthetic benchmarks.

Rank

of 87 active models

Tokens served

118.5M

all-time

Success rate

94.2%

last 7 days

Median throughput51 tok/s

Total requests18,363

Platform share5.0%

Tokens · last 15 daysJul 19 → Aug 2

Top apps using this model

1OpenClaw534.5K tok

Public apps sending the most traffic to this model — a signal of what real workloads it fits.

Pricing

Pay per token. Cached input is billed at 10% of the input rate.

$0.405 /1M input$1.62 /1M output

Hobby10 req/day · 2K in / 500 out

~$0.49/mo

Production1,000 req/day · 2K in / 500 out

~$48.60/mo

Scale20,000 req/day · 2K in / 500 out

~$972/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Estimated monthly cost

$48.60

$1.62 / day on MiniMax M2.7

Same workload on:

MiniMax M2.5$43.15-11%

MiniMax M3$46.21-5%

Estimates use list pricing. Actual bills depend on real token counts — every response includes its exact cost.

When to use MiniMax M2.7

Updated 2026-07-29

Where this model earns its cost — and where it doesn't.

MiniMax M2.7 is a frontier-tier language model built by MiniMax for agentic productivity. It accepts text input and returns text output, with native support for tool calling, structured outputs, and explicit reasoning steps. It operates with a 204,800-token context window and a maximum output length of 32,768 tokens.

On Kyma, the model runs on an OpenAI-compatible endpoint and routes automatically through failover paths if a serving instance degrades. It delivers a median throughput of 15 tokens per second and maintains a 100% success rate across live traffic. Responses include exact token costs in the usage.cost field and identify the executed model via the X-Kyma-Model header.

The model does not support vision inputs or prompt caching. If your workflow relies on image analysis or requires cached prefix discounts, you will need to route elsewhere or structure prompts differently.

Agentic Workflow Orchestration

Handles multi-step tool calls and state tracking for autonomous agents.

Code Generation and Debugging

Writes, reviews, and fixes code across multiple languages with structured reasoning.

Productivity and Content Drafting

Generates long-form text and organizes complex information within a large context window.

Structured Data Extraction

Outputs strictly formatted JSON or XML for downstream parsing and API integration.

Not ideal for: Do not use this model for tasks requiring image understanding, multimodal input, or prompt caching discounts.

How it compares

Against the peers people actually weigh it against.

Spec	MiniMax M2.7	MiniMax M2.5	MiniMax M3
Input /1M	$0.405	$0.3826	$0.3852
Output /1M	$1.62	$1.346	$1.54
Context	205K	197K	1M
Tools	Yes	Yes	Yes
Reasoning	Yes	Yes	Yes
Speed	medium	medium	medium

Quick start

Up and running in under two minutes.

1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key →

Make your first request

Drop in your key and send a chat completion — fully OpenAI-compatible.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m2.7",
    "messages": [
      {"role": "user", "content": "Explain prompt caching in one paragraph."}
    ]
  }'

Stream responses

Add "stream": true to receive tokens as they arrive.

curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m2.7",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of MiniMax M2.7?

MiniMax M2.7 has a 205K-token context window — roughly 301 pages of text in a single request.

How much does the MiniMax M2.7 API cost?

$0.405 per 1M input tokens and $1.62 per 1M output tokens. No subscription; you pay only for what you use.

Does MiniMax M2.7 support function calling?

Yes — MiniMax M2.7 supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use MiniMax M2.7?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to minimax-m2.7. Signing up is free and includes $0.50 of credit — no card required.

Does this model support image inputs?

No, MiniMax M2.7 is text-only. Route to a multimodal model if your workflow requires vision.

Can I use prompt caching with this model?

No, the model does not support caching. Prefixes will be billed at the standard input rate.

How do I track costs per request?

Every response includes the exact token cost in the usage.cost field, and the X-Kyma-Model header confirms which model executed the request.

Start with $0.50 free credit — no card required.Create account →

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