Intelligence
Index v5.0
Custom pricing for production workloads
MiniMax M3 is a large-context reasoning model from MiniMax. Supports up to 1M context tokens and is optimized for long-document understanding, coding workflows, agent tasks, and complex multi-step reasoning.
A large-context reasoning model built for coding, agentic tasks, and long-document understanding, with up to 1M context tokens and multimodal capabilities.
minimax/minimax-m3https://api.aimlapi.com/v1MiniMax M3 is the flagship reasoning model from MiniMax, built for agentic workflows, long-document processing, coding tasks, and complex multi-step reasoning at scale. It supports a context window of up to 1 million tokens, one of the largest available in production, and introduces multimodal input support alongside a reasoning architecture designed for frontier-tier performance.
Where previous MiniMax models excelled at conversational tasks and general instruction-following, M3 was purpose-built for environments where context depth, tool-use reliability, and sustained reasoning across long sessions actually matter. It's the first MiniMax model explicitly positioned at the agentic frontier.
MiniMax M3 (≤512K input tokens):
MiniMax M3 is documented as suited to coding tasks, including bug fixing, frontend/backend development, performance optimization, and long-horizon coding work. It is also suited to agentic workflows, including autonomous task decomposition, tool invocation, multi-step reasoning, and automated workflows. It is documented for multimodal use cases such as long-form video understanding, image and video input, and computer use on desktop applications. It is also described as suitable for office-style workflows and design or creative workflows.
See how MiniMax M3 compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.
Compare 12 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.3 | 1M tokens |
| Output | $1.2 | 1M tokens |
| Cached input | $0.06 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.3 | $1.2 | |
| $0.15 | $0.6 | |
| $0.3 | $1.2 | |
| $0.6 | $2.4 | |
| $0.6 | $2.4 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "minimax/minimax-m3",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "minimax/minimax-m3",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "minimax/minimax-m3",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());MiniMax M3 has a 524,288 tokens context window and can return up to 524,288 tokens.
MiniMax M3 takes image, text as input and returns text.
Use minimax/minimax-m3 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
MiniMax M3 became available on June 1, 2026.
MiniMax M3 costs $0.3 input and $1.2 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, MiniMax M3 can stream responses as they are generated.
Yes, MiniMax M3 accepts image input alongside text.
MiniMax M3 was built by MiniMax.
Yes, it supports function calling along with parallel tool calls and structured outputs.