MiniMax M2-her
minimax/m2-her出品方： MiniMax · 系列: minimax · 發布 2026-01-23
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清單
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding3
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability3/10
Agents3
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability3/10
JSON / structured output27
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume17/20
Cost efficiency63
- Headline price (log-scaled)58/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness73
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers8/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $2.10 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $4.20 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $1.20 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $3.60 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $4.32 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定價詳情
推薦定價來自 openrouter · minimax/minimax-m2-her
於 3 家供應商可用
| 服務商 | 服務商模型 ID | 輸入 / 1M | 輸出 / 1M | 上下文 | 發布日期 |
|---|---|---|---|---|---|
| OpenRouter openrouter | minimax/minimax-m2-her | $0.300 | $1.20 | 66K | 2026-01-23 |
| NanoGPT nano-gpt | minimax/minimax-m2-her | $0.302 | $1.21 | 66K | 2026-01-24 |
| Kilo Gateway kilo | minimax/minimax-m2-her | $0.300 | $1.20 | 66K | 2026-01-23 |
各渠道資料存在不一致
- context_window varies: 65532, 65536
各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值；逐項請以下表為準。
Frequently asked questions
How much does MiniMax M2-her cost?
MiniMax M2-her costs $0.300 per 1M input tokens and $1.20 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of MiniMax M2-her?
MiniMax M2-her has a context window of 66K tokens, with a max output of 2K tokens per reply. This is the total combined size of prompt + completion.
Does MiniMax M2-her support tool calling?
No. MiniMax M2-her does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does MiniMax M2-her support structured output / JSON mode?
No. MiniMax M2-her does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can MiniMax M2-her accept image input?
No. MiniMax M2-her only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is MiniMax M2-her open-weight?
No. MiniMax M2-her is a proprietary model — only MiniMax (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to MiniMax M2-her?
If MiniMax M2-her doesn't fit, consider MiniMax-M2.5, MiniMax-M2.7, MiniMax-M2.1. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More MiniMax models
- MiniMax-M2.5$0.30 in / $1.20 out
- MiniMax-M2.7$0.30 in / $1.20 out
- MiniMax-M2.1$0.30 in / $1.20 out
- MiniMax-M2$0.30 in / $1.20 out
- MiniMax-M2.7-highspeed$0.60 in / $2.40 out
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.