MiniMax: MiniMax M2-her API Pricing
MiniMax: MiniMax M2-her costs $0.300 per 1M input tokens and $1.20 per 1M output tokens (cache reads: $0.030). Context window: 66K. Prices verified 2026-10-21 · source
Alternatives to consider
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
From our own daily snapshot archive — independent of provider announcements.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.300 | — |
| Cache read | $0.030 | −90% |
| Output | $1.20 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
What would MiniMax: MiniMax M2-her cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $7.20 |
| Coding agent | 5,000 | 8,000 / 2,000 | $24.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $54.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $14.40 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About MiniMax: MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...
Compare MiniMax: MiniMax M2-her with
- MiniMax M2-her vs OpenAI: GPT-5.6 Terra Pro
- MiniMax M2-her vs Anthropic: Claude Fable 5
- MiniMax M2-her vs Anthropic: Claude Opus 5
- MiniMax M2-her vs OpenAI: GPT-5.6 Sol
Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does MiniMax: MiniMax M2-her cost?
MiniMax: MiniMax M2-her costs $0.300 per 1M input tokens and $1.20 per 1M output tokens; cached input tokens cost $0.030 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
66K tokens, with up to 2K output tokens per response. That's roughly 82 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.030/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 95% on a typical workload with comparable quality.
Official resources
- MiniMax: MiniMax M2-her on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Shred your current bill — paste a CSV and see if switching saves money.