DeepSeek V4 Pro vs MiniMax M2.7
Pricing, context window and real answers (August 2026)
DeepSeek V4 Pro (DeepSeek) and MiniMax M2.7 (MiniMax), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.
Specs and pricing
| Provider | DeepSeek | MiniMax |
|---|---|---|
| Input (per 1M tokens) | ¥341.32 | ¥53.61 |
| Output (per 1M tokens) | ¥684.42 | ¥214.44 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥684 | ¥161 |
| Context window | 1,048,576 tokens | 204,800 tokens |
| Release date | 4/24/2026 | 3/18/2026 |
| Input modalities | text | text |
| Arena · overall | #54 · ELO 1,458 | #121 · ELO 1,417 |
| Arena · Japanese | #22 · ELO 1,463 | #166 · ELO 1,278 |
| Arena · coding | #59 · ELO 1,502 | #94 · ELO 1,481 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, MiniMax M2.7: ¥214.44 per 1M output tokens, 69% less than DeepSeek V4 Pro.
- On the Overall arena board, DeepSeek V4 Pro ranks higher (#54; MiniMax M2.7 is #121).
- On the Japanese arena board, DeepSeek V4 Pro ranks higher (#22; MiniMax M2.7 is #166).
- On the Coding arena board, DeepSeek V4 Pro ranks higher (#59; MiniMax M2.7 is #94).
- For long documents, DeepSeek V4 Pro: a 1,048,576-token context window against 204,800 for MiniMax M2.7.
- If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.
Real answers to the same prompts
Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.
Count the number of 'r's in 'strawberry'
Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.
DeepSeek V4 Pro
MiniMax M2.7
Debug This Error
I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…
DeepSeek V4 Pro
MiniMax M2.7
Code Review
Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…
DeepSeek V4 Pro
MiniMax M2.7
Frequently asked questions
- Which is cheaper, DeepSeek V4 Pro or MiniMax M2.7?
- Per 1M output tokens, DeepSeek V4 Pro is ¥684.42 and MiniMax M2.7 is ¥214.44 on FastMetal (yen, before tax), so MiniMax M2.7 is cheaper.
- How do the context windows of DeepSeek V4 Pro and MiniMax M2.7 compare?
- DeepSeek V4 Pro takes 1,048,576 tokens; MiniMax M2.7 takes 204,800.
- Which ranks higher, DeepSeek V4 Pro or MiniMax M2.7?
- DeepSeek V4 Pro ranks higher on the public arena (DeepSeek V4 Pro #22, MiniMax M2.7 #166). Ranks move as the leaderboard updates.
- Can I use DeepSeek V4 Pro and MiniMax M2.7 with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "deepseek-v4-pro" or "minimax-m2.7" as the model. Each is billed at its own rate from the same prepaid balance.
Try both on one API key
Create an account and add credit to call DeepSeek V4 Pro and MiniMax M2.7 from the browser chat and the API. No monthly fee.