What is the context window?
1M tokens, the same as M2.5.
MiniMax M3 is available on A2Agent as minimax-m3 at $0.300 per 1M input tokens, with a 1M context window, through one OpenAI-compatible endpoint. Agent runs at a 1M window on the flat MiniMax rate.
| Model id | minimax-m3 |
|---|---|
| Platform | MiniMax |
| Context window | 1M |
| Tagged for | chat, agent |
| Discount | … |
| Input / 1M tokens | $0.300 |
| Output / 1M tokens | $1.20 |
Prices synced with platform billing (USD per 1M tokens).
curl https://a2agent.me/v1/chat/completions \
-H "content-type: application/json" \
-H "authorization: Bearer sk-your-a2agent-key" \
-d '{
"model": "minimax-m3",
"messages": [{"role": "user", "content": "Reply with OK"}]
}'Suits agent frameworks that plan, call tools and re-read state on every turn. The 1M window absorbs long transcripts, and the flat rate keeps long runs predictable.
M3 is the agent-tagged MiniMax model and pairs a 1M context with the same $0.30 per million input tokens and $1.20 output that M2.5 and M2.7 list. Price never moves inside this family, so the decision comes down to what each model was tuned for and how much it can hold. M3 and M2.5 both reach 1M; M2.7 stops at 200K. M2.5 and M2.7 carry the coding tag, M3 carries agent. The practical split: tool loops, planning and orchestration on M3, writing and refactoring code on M2.5, and M2.7 when you want the newest release and the shorter window is not a problem. Switching between them costs nothing but the model string.
1M tokens, the same as M2.5.
The tag. M3 is tuned for agent work, M2.5 for coding. Window and price are identical.
No. All three MiniMax models here list at $0.30 per million input and $1.20 output.
Yes, over the standard OpenAI Chat Completions and Responses faces, as well as the Anthropic Messages API.
Trial credit on sign-up, billed per token, no minimum spend.