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MiniMax: MiniMax-01 API Pricing

MiniMax: MiniMax-01 costs $0.200 per 1M input tokens and $1.10 per 1M output tokens. Context window: 1.0M. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
3K
HF downloads
656
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.200
Output / 1M tokens
$1.10
Context window
1.0M
Max output
900K
Knowledge cutoff
2024-03-31

Training data ends here — newer events require retrieval or web search.

What would MiniMax: MiniMax-01 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$6.00
Coding agent5,0008,000 / 2,000$19.00
RAG pipeline30,0004,000 / 500$40.50
Doc summarizer2,00020,000 / 1,000$10.20

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About MiniMax: MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

Compare MiniMax: MiniMax-01 with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does MiniMax: MiniMax-01 cost?

MiniMax: MiniMax-01 costs $0.200 per 1M input tokens and $1.10 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

1.0M tokens, with up to 900K output tokens per response. That's roughly 1250 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 94% on a typical workload with comparable quality.

Official resources