MiniMax M3
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MiniMax M3 — 1M context, reads images, adjustable reasoning effort.
- Context window
- 1M
- Max output
- 512K
- Input modalities
- text · image
- Output modalities
- text
- Capabilities
- Vision · Reasoning · Tool calling · Coding · Prompt cache · Normalize Openai Envelope
- Upstream release
- 2026-06-01
- RouteMux name
- minimax/minimax-m3
- Official ID
- MiniMax-M3
Try MiniMax M3 here
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What is MiniMax M3
MiniMax M3 pairs a 1M-token context window with an unusually large 512K maximum output — the widest output headroom of any model in this catalog. It accepts text and image input, supports tool calling, reasoning and prompt caching, and answers on three protocols: OpenAI Chat Completions, OpenAI Responses and Anthropic Messages.
Through RouteMux it is $0.03 per 1M input tokens against MiniMax's $0.30, and $0.12 against $1.20 on output.
The 512K output ceiling is the thing worth designing around. Tasks that normally have to be split across calls because the response will not fit — full-file rewrites, long structured extractions, bulk translation — can often run in one request here.
MiniMax M3 API pricing
Source: minimax_text_x0.10 · Verified 2026-08-07
Cache read $0.006/M · Cache write —/M
| Tier | Input | Cache read | Cache write | Output |
|---|---|---|---|---|
| Standard ≤512K | $0.03 | $0.006 | — | $0.12 |
| Standard >512K | $0.06 | $0.012 | — | $0.24 |
Estimate cost
Limited time20% extra Credits on your first top-up — up to 200 bonus Credits
Applies to your first top-up within 72 hours of signing up. Minimum $20, once per account.
Key capabilities
512K maximum output
The widest output headroom in this catalog. Work that normally needs splitting across calls can run in one.
1M-token context
With text and image input.
Tool calling and caching
Reasoning, tool calling and prompt caching are all supported.
Three protocols
OpenAI Chat, OpenAI Responses and Anthropic Messages.
Interface and protocols
Use any of these IDs to call this model via the API.
minimax/minimax-m3MiniMax-M3Replace the ROUTEMUX_KEY placeholder with your API key. Create one →
from openai import OpenAI
client = OpenAI(
base_url="https://api.routemux.com/v1",
api_key="<ROUTEMUX_KEY>",
)
completion = client.chat.completions.create(
model="minimax/minimax-m3",
messages=[{"role": "user", "content": "What is the meaning of life?"}],
)
print(completion.choices[0].message.content)Performance (last 30 days)
MiniMax M3 FAQ
›What is MiniMax M3?
MiniMax M3 — 1M context, reads images, adjustable reasoning effort.
›How large is the context window of MiniMax M3?
MiniMax M3 supports a context window of up to 1M tokens, with up to 512K output tokens per request.
›How much does the MiniMax M3 API cost?
Through RouteMux, MiniMax M3 costs $0.03 for input and $0.12 for output (USD per 1M tokens), below the official list price.
›How do I call MiniMax M3 via API?
MiniMax M3 is OpenAI-compatible: point your base URL at RouteMux and set the model field to minimax/minimax-m3 — no code changes needed.
›Which input and output modalities does MiniMax M3 support?
MiniMax M3 accepts text, image as input and produces text as output.
›When was MiniMax M3 released?
MiniMax M3 was released on June 1, 2026.
›What is the maximum output length?
512K tokens — considerably more headroom than most models, which cap output well below their context window.
›Which protocols can I use?
OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages.
›Is there a free daily allowance for this model?
Yes, for accounts that have topped up. A daily credit lands automatically and can be spent on MiniMax M3, M2.7 and M2.7 Highspeed — one shared pool across the three, not one each. It resets daily and does not carry over; the size depends on your cumulative top-ups. Your balance page shows what is left today. It is a limited-time promotion and the terms there are authoritative.