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MiniMax - Open weights

MiniMax-M3 pricing and specs

MiniMax-M3 is an open-weights model from MiniMax that costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on the first-party API, with a 1M-token context window.

Last verified from platform.minimax.io. All sources

Input / 1M
$0.30
Output / 1M
$1.20
Context
1M tokens
Weights
Open

Pricing per 1M tokens

ItemPrice / 1M tokens
InputPrompts up to 512,000 tokens$0.30
OutputPrompts up to 512,000 tokens$1.20
Cache readPrompts up to 512,000 tokens$0.06
Long-context inputPrompts over 512,000 tokens$0.60
Long-context outputPrompts over 512,000 tokens$2.40
Long-context cache readPrompts over 512,000 tokens$0.12

Note: Prices are the charged Standard-tier rates under MiniMax's 'Permanent 50% off' label; struck-through list prices are $0.60 input / $2.40 output / $0.12 cache read up to 512k input tokens and $1.20 / $4.80 / $0.24 above. The pricing page states the tier boundary only as '512k input tokens'; aboveTokens is recorded as 512000, but the page does not say whether 512k means 512,000 or 524,288 (the same docs write the max_tokens ceiling as '524288 (512K)'). Priority tier (service_tier=priority) is 1.5x Standard: $0.45 / $1.80 / $0.09 cache read up to 512k and $0.90 / $3.60 / $0.18 above. No cache write price is listed for M3. max output is the documented max_tokens ceiling and thinking tokens count toward it; thinking is off by default and enabled with thinking type adaptive. Accepts text, image and video input. The weights license allows commercial use with a 'Built with MiniMax M3' notice, and requires prior written authorization above $20M yearly revenue. The gateway lists a 512000 context for this id and its price varies by provider.

Specs

Context window
1,000,000 tokens
Max output
524,288 tokens
Release date
Provider
MiniMax
API model id
MiniMax-M3
Vercel AI Gateway id
minimax/minimax-m3
Weights
Open weights
License
MiniMax Community License (Hugging Face license tag: other / minimax-community)
Weights download
huggingface.co

What MiniMax-M3 costs in practice

Worked from the standard list rates above, with the math shown so you can swap in your own token counts. These use the base rates, which apply while each request's prompt stays at or under 512,000 tokens; above that, MiniMax-M3 bills $0.60 input and $2.40 output for the whole request.

One agent session

1M input tokens and 100K output tokens, no caching.

  • Input1M x $0.30 = $0.30
  • Output0.1M x $1.20 = $0.12

$0.42per session

A chat app

10,000 requests a day at 2K input and 500 output tokens each.

  • Input20M x $0.30 = $6.00
  • Output5M x $1.20 = $6.00

$12.00per day

$360.00 per 30-day month

The same session at a 90% cache hit

90% of the input is read from the prompt cache. The one-time cache write premium is not included.

  • Cached input0.9M x $0.06 = $0.054
  • Uncached input0.1M x $0.30 = $0.03
  • Output0.1M x $1.20 = $0.12

$0.204per session

Compare with

ModelInput / 1MOutput / 1M
MiniMax-M3 (this page)$0.30$1.20
DeepSeek V4.1 FlashDeepSeek$0.30$1.20
GPT-5.6 LunaOpenAI$0.20$1.20
MiniMax-M2.5MiniMax$0.30$1.20
MiniMax-M2.7MiniMax$0.30$1.20
MiniMax-M2.5-highspeedMiniMax$0.60$2.40
MiniMax-M2.7-highspeedMiniMax$0.60$2.40

Compare

Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.

FAQ

How much does MiniMax-M3 cost per million tokens?

MiniMax-M3 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on MiniMax's first-party API, per platform.minimax.io on October 17, 2026. Per 1M tokens, cache reads cost $0.06. Prompts over 512,000 tokens are billed at $0.60 input and $2.40 output for the whole request.

What is MiniMax-M3's context window?

MiniMax-M3 has a 1,000,000-token context window and returns up to 524,288 output tokens per response.

Are MiniMax-M3's weights open?

Yes. MiniMax-M3's weights are published at https://huggingface.co/MiniMaxAI/MiniMax-M3 under the MiniMax Community License (Hugging Face license tag: other / minimax-community).

When was MiniMax-M3 released?

MiniMax released MiniMax-M3 on June 1, 2026.

Sources

Last verified from platform.minimax.io.

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