MiniMax M2-her
by MiniMax · minimax/minimax-m2-her · #130 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:52 AM UTC · refreshed hourly
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...
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Pricing
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Blended (3:1)
$0.525
3 input : 1 output
Cache read
$0.03
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for MiniMax M2-her with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.525 | $0.0318 | — |
| 50% | $0.424 | $0.0183 | −42% |
| 90% | $0.343 | $0.0075 | −76% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00051 | $0.51 |
| Document summary | 8,000 | 1,000 | $0.0036 | $3.60 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0114 | $11.40 |
| Long-context analysis | 150,000 | 5,000 | $0.051 | $51.00 |
Specs
Context window
66K
tokens
Max output
2K
tokens
Input modalities
text
Tokenizer
Other