MiniMax M3 - Kyma API

Overview

minimax-m3 is MiniMax’s agentic coding flagship and the successor to minimax-m2.5. It uses MSA sparse attention, scores 59% on SWE-Bench Pro and 66% on Terminal-Bench, and runs a 1M context window with multimodal input (text, image, video). Reach for it on engineering-heavy, long-horizon agentic work.

Specs

Field	Value
Model ID	`minimax-m3`
Best for	Agentic coding, debugging, long-horizon tasks, multimodal input
Context window	1M
Max output tokens	32K
Input modalities	Text, Image, Video
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Reasoning	Yes
Prompt caching	Yes
Speed	Medium
Cost band	Balanced
Release stage	Stable

Use this when

Your workflow is engineering and agentic, not just chat.
You want strong coding quality at a balanced price.
You need a very large (1M) context for repo-scale tasks.
You want image or video input alongside code work.

Pick something else when

You want the strongest tool-heavy multimodal agent: use kimi-k2.6.
You want the highest general quality: use qwen-3.7-plus.
You need faster cheap throughput: use qwen-3-32b.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="minimax-m3",
    messages=[{"role": "user", "content": "Plan the fix, propose a patch, and explain the regression risks."}]
)

Agent query example

curl "https://kymaapi.com/v1/models?recommended_for=coding&tools=true"

MiniMax M2.5 MiniMax M2.7

​Overview

​Specs

​Use this when

​Pick something else when

​Example

​Agent query example