minimax
MiniMax M2.1 vs MiniMax M3
67.3 overall · $0.525 / 1M
// minimax
MiniMax M2.1
minimax/minimax-m2.1
reasoningtool callingprompt caching
MiniMax M2.1 costs $0.300 per 1M input tokens and $1.20 per 1M output tokens with a 205K-token context window.
A reasoning, tool-calling model from minimax, released Dec 23, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.300
- Output / 1M
- $1.20
- Context
- 205K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.300 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $1.20 |
| Blended price 3:1 input:output — #141 cheapest of 343 listed models | $0.525 |
| Cached input read Blank means not priced separately — not free | $0.030 |
| Cache write | — |
| Context window | 204,800 tokens |
| Max output | 131,072 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Dec 23, 2025 |
What MiniMax M2.1 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $148.56/mo |
| RAG assistant 8K in / 600 out × 100K requests | $204.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $184.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $376.50/mo |
| Bulk classification 500 in / 20 out × 5M requests | $735.00/mo |
Compare MiniMax M2.1 with
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MiniMax M2.1 vs DeepSeek V4 Flash Vision Exp
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63.9 overall · $0.850 / 1M
MiniMax M2.1 FAQ
How much does MiniMax M2.1 cost?
MiniMax M2.1 lists at $0.300 per 1M input tokens and $1.20 per 1M output tokens, with cached input reads at $0.030 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $204.00 at list price.
What is the context window of MiniMax M2.1?
MiniMax M2.1 accepts up to 204,800 tokens of context and can return up to 131,072 output tokens per response.
Does MiniMax M2.1 support tool calling?
Yes — MiniMax M2.1 supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does MiniMax M2.1 score on benchmarks?
LiveBench has not published a run for MiniMax M2.1 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for MiniMax M2.1?
On OpenRouter the model ID is "minimax/minimax-m2.1". It was listed on Dec 23, 2025.
More from minimax
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.