What is the context window?
200K tokens. M2.5 and M3, the other two MiniMax models here, both run 1M.
MiniMax M2.7 is available on A2Agent as minimax-m2.7 at $0.300 per 1M input tokens, with a 200K context window, through one OpenAI-compatible endpoint. The newest MiniMax coding model, when 200K of context is enough.
| Model id | minimax-m2.7 |
|---|---|
| Platform | MiniMax |
| Context window | 200K |
| Tagged for | chat, coding |
| 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-m2.7",
"messages": [{"role": "user", "content": "Reply with OK"}]
}'Fine as the edit model in a coding client where each request carries a few files rather than the whole tree. If your sessions routinely run past 200K, M2.5 is the same price with five times the room.
M2.7 is the later of the two coding-tagged MiniMax models, and the surprise is that it is the shorter one. 200K, where M2.5 runs to 1M. Price is identical across the family, $0.30 per million input tokens and $1.20 output for M2.7, M2.5 and M3 alike, so the newer release costs nothing extra and gives up context. That inverts the usual reasoning about picking the latest model. Choose M2.7 when the task sits comfortably inside 200K and you want the most recent release. Choose M2.5 when the prompt is large and you would rather have the window than the version number. M3 is the third option at 1M, tuned for agent work rather than coding.
200K tokens. M2.5 and M3, the other two MiniMax models here, both run 1M.
No. All three MiniMax models list at $0.30 per million input and $1.20 output.
Only for the newer release. On the recorded data M2.5 wins on window and matches on price and tag.
Yes, along with M2.5. M3 carries the agent tag instead.
Trial credit on sign-up, billed per token, no minimum spend.