MiniMax

MiniMax M3

Name: MiniMax M3
Brand: MiniMax
Price: 0.3852 USD
Availability: InStock

MiniMax M3 is a frontier model optimized for agentic coding workflows and long-context multimodal analysis. Developers building autonomous agents or debugging complex repositories should use it when they need reliable tool execution across a million-token window.

Modalities

Text+Image → Text

Input

$0.3852 /1M

Output

$1.54 /1M

Cached input

$0.03852 /1M90% off

Context

Speed

medium

Performance

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

Rank

#34

of 87 active models

Tokens served

379.5K

all-time

Success rate

100%

last 7 days

Median throughput29 tok/s

Total requests138

Platform share0.0%

Tokens · last 15 daysJul 19 → Aug 2

Pricing

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

$0.3852 /1M input$1.54 /1M output

Hobby10 req/day · 2K in / 500 out

~$0.46/mo

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

~$46.21/mo

Scale20,000 req/day · 2K in / 500 out

~$924/mo

+ Estimate your workload

Requests / day1,000

Input tokens / request2,000

Output tokens / request500

Cache hit rate30%

Estimated monthly cost

$39.97

$1.33 / day on MiniMax M3

Same workload on:

MiniMax M2.5$43.15+8%

MiniMax M2.7$48.60+22%

Estimates use list pricing with cached input billed at the 90%-discount rate. Actual bills depend on real token counts — every response includes its exact cost.

When to use MiniMax M3

Updated 2026-07-29

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

MiniMax M3 uses MSA sparse attention to process text, image, and video inputs within a 1,048,576-token context window. It supports tool calling, structured outputs, and explicit reasoning traces, making it suitable for multi-step coding tasks and repository-level analysis.

On Kyma, the model runs through an OpenAI-compatible endpoint with automatic request failover and exact cost reporting in the usage.cost field. Prompt caching applies a 90% discount to repeated prefixes, and new accounts receive a $0.50 credit to test throughput.

Output generation caps at 32,768 tokens, and median throughput sits around 2 tokens per second. It is not designed for high-speed conversational streaming or low-latency real-time applications.

Agentic Code Generation

Handles multi-step repository edits and tool chaining across long context windows.

Multimodal Input Analysis

Processes text, image, and video inputs to extract structured data or debug visual workflows.

Long-Horizon Debugging

Maintains state over extended sessions to trace errors across large codebases.

Structured Output Parsing

Returns deterministic JSON or XML formats for downstream pipeline integration.

Not ideal for: Avoid this model for low-latency chat or high-throughput streaming where sub-second response times are required.

How it compares

Against the peers people actually weigh it against.

Spec	MiniMax M3	MiniMax M2.5	MiniMax M2.7
Input /1M	$0.3852	$0.3826	$0.405
Output /1M	$1.54	$1.346	$1.62
Context	1M	197K	205K
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-m3",
    "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-m3",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

FAQ

Common questions about this model.

What is the context window of MiniMax M3?

MiniMax M3 has a 1M-token context window — roughly 1542 pages of text in a single request.

How much does the MiniMax M3 API cost?

$0.3852 per 1M input tokens and $1.54 per 1M output tokens, with cached input at $0.03852/1M — a 90% discount on repeated prompt prefixes. No subscription; you pay only for what you use.

Does MiniMax M3 support function calling?

Yes — MiniMax M3 supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

How do I use MiniMax M3?

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-m3. Signing up is free and includes $0.50 of credit — no card required.

Does it support image and video inputs?

Yes, the model accepts text, image, and video inputs but outputs text only.

How does prompt caching work on Kyma?

Repeated prompt prefixes are billed at 10% of the standard input rate, reducing costs for iterative agent loops.

Can I rely on it for structured JSON outputs?

Yes, it natively supports structured outputs and tool calling, which you can enforce via system prompts or API parameters.

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

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