MiniMax-M2.1 pricing, context window and limits
MiniMax-M2.1 costs $0.3 per million input tokens and $1.2 per million output tokens at Amazon Bedrock list price. It accepts up to 196,608 tokens of context and returns up to 131,072 tokens.
- Model id
bedrock/minimax.minimax-m2.1 - Snapshot
What does MiniMax-M2.1 cost?
| Input | $0.3 |
|---|---|
| Output | $1.2 |
| Cached input (read) | — |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can MiniMax-M2.1 read and write?
| Context window | 196,608 |
|---|---|
| Max output | 131,072 |
What can MiniMax-M2.1 do?
| Vision (image input) | No |
|---|---|
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning | Yes |
| Input | text |
| Output | text |
What does a request to MiniMax-M2.1 cost?
| A typical request: 1,000 tokens in, 500 out | $0.0009 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.0042 |
| 1,000 typical requests | $0.9 |
| 1 million tokens in and 1 million out | $1.5 |
Among 199 Amazon Bedrock models with a published price, MiniMax-M2.1 is the 57th cheapest by input price. Its context window is the 158th largest of 199. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call MiniMax-M2.1 through DVARA?
Configure the bedrock provider in the DVARA LLM Gateway and send the model id bedrock/minimax.minimax-m2.1. DVARA, the AI gateway, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set gets no cost record: its calls count against no budget and appear in no report, and the gateway records the model as unpriced. Every cost record says which price it used.
Which other Amazon Bedrock models are there?
- MiniMax-M2$0.3 in · $1.2 out · 205K context
- MiniMax-M2.5$0.3 in · $1.2 out · 197K context
- Llama 4 Scout 17B Instruct$0.17 in · $0.66 out · 10M context
- Devstral 2 123B$0.4 in · $2 out · 262K context
- Llama 4 Maverick 17B Instruct$0.24 in · $0.97 out · 1M context
- Magistral Small 1.2$0.5 in · $1.5 out · 128K context
- Llama 3.3 70B Instruct$0.72 in · $0.72 out · 128K context
- Ministral 14B 3.0$0.2 in · $0.2 out · 128K context
- Llama 3.1 8B Instruct$0.22 in · $0.22 out · 128K context
- Ministral 3 3B$0.1 in · $0.1 out · 256K context
- Llama 3.1 70B Instruct$0.72 in · $0.72 out · 128K context
- Ministral 3 8B$0.15 in · $0.15 out · 128K context
Which models from other providers are similar to MiniMax-M2.1?
These are the closest in context window and input price, one per provider.
- Codestral 25.08Mistral AI · $0.3 in · $0.9 out · 256K context
- GLM-4.6VZhipu GLM · $0.3 in · $0.9 out · 128K context
- Qwen2.5 32B InstructAlibaba Qwen · $0.287 in · $0.861 out · 131K context
- GPT-5 MiniOpenAI · $0.25 in · $2 out · 400K context
- Nano Banana 2Google Gemini · $0.5 in · $60 out · 131K context