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
Below release
fp4 · fp8
Weights
Published
MiniMaxAI/MiniMax-M3
Where it sits in the catalogue Kyma measures
Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.
$0.3985
output $1.594 · cached $0.0756
median $0.977 · best $0.0494
$1.594
per 1M tokens generated
median $3.4515 · best $0.2164
98.16%
435 observations since 2026-06-10
median 93.7% · best 100.0%
35.3 tok/s
probe median, one fixed prompt
median 39.4 tok/s · best 314.8 tok/s
1.93 s
probe median, to a complete answer
median 2.53 s · best 0.84 s
1.05M
max output 32,768
published by MiniMax, not measured here
Tick above each rail is this model, below it the other 69. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.
Usage
How much this model is actually called here.
Rank
#53
of 117 active models
Tokens served
402.3K
all-time
Platform share
0.0%
of all tokens
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$42.01
$1.40 / day on MiniMax M3
Same workload on:
Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.
When to use MiniMax M3
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 to repeated prefixes.
Output generation caps at 32,768 tokens, and generation is slow. 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 | $0.3985 | $0.3826 | $0.405 |
| Output /1M | $1.594 | $1.346 | $1.62 |
| Context | 1M | 197K | 205K |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Throughput | 35.3 tok/s | 74 tok/s | 57.2 tok/s |
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 on the free tier, which covers MiniMax M3. No card required.
Get API key → - 2
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."} ] }' - 3
Stream responses
Add
"stream": trueto 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?
How much does the MiniMax M3 API cost?
Does MiniMax M3 support function calling?
Are the weights for MiniMax M3 publicly available?
Is MiniMax M3 ever served below the precision its creator released it at?
How do I use MiniMax M3?
Does it support image and video inputs?
How does prompt caching work on Kyma?
Can I rely on it for structured JSON outputs?
More models by MiniMax
See all 13 →| Model | Context | Input | Output |
|---|---|---|---|
MiniMax Music Pro | — | $0.20 / song | |
MiniMax M2.7 | 205K | $0.405 | $1.62 |
MiniMax M2.5 | 197K | $0.3826 | $1.346 |
MiniMax Music | — | $0.20 / song | |
MiniMax Voice Design | — | $2.00 / call | |
Hailuo 02 (1080p) | — | $0.78 / video | |
Hailuo 02 (768p) | — | $0.42 / video | |
Hailuo 02 (512p) | — | $0.14 / video | |
