DeepSeek: DeepSeek V4 Flash 0731 vs MiniMax: MiniMax M2.7
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of MiniMax: MiniMax M2.7 at #42. DeepSeek: DeepSeek V4 Flash 0731 is cheaper on input tokens at $0.14/1M vs $0.30/1M for MiniMax: MiniMax M2.7. DeepSeek: DeepSeek V4 Flash 0731 offers the larger context window at 1M tokens.
DeepSeek: DeepSeek V4 Flash 0731 vs MiniMax: MiniMax M2.7: which should you use?
Choose DeepSeek: DeepSeek V4 Flash 0731 if…
- It sees more real traffic — #1 overall on OpenRouter's weekly ranking, against #42 for MiniMax: MiniMax M2.7.
- Cheaper to read — $0.14 vs $0.30 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Cheaper to write — $0.28 vs $1.20 per 1M output tokens, the line item that decides generation-heavy costs.
- Bigger context window — 1M vs 205K tokens.
- Higher Artificial Analysis intelligence index — 51.8 vs 38.9.
- Higher Artificial Analysis coding score — 69.1 vs 52.6.
- Higher Artificial Analysis agentic score — 48.4 vs 25.9.
- It is the newer model — released Jul 2026 against Mar 2026.
Choose MiniMax: MiniMax M2.7 if…
On every published figure — price, context, benchmarks — it does not come out ahead of DeepSeek: DeepSeek V4 Flash 0731.
Spec Comparison
| DeepSeek: DeepSeek V4 Flash 0731 | MiniMax: MiniMax M2.7 | |
|---|---|---|
| Author | deepseek | minimax |
| Input price (per 1M tokens) | $0.14 | $0.30 |
| Output price (per 1M tokens) | $0.28 | $1.20 |
| Context window | 1M | 205K |
| Input modalities | text | text |
| Output modalities | text | text |
| AA Intelligence | 51.8 | 38.9 |
| AA Coding | 69.1 | 52.6 |
| AA Agentic | 48.4 | 25.9 |
| Released | Jul 2026 | Mar 2026 |
What DeepSeek: DeepSeek V4 Flash 0731 and MiniMax: MiniMax M2.7 actually cost to run
On a read-heavy job — 1M tokens in, 100K out — DeepSeek: DeepSeek V4 Flash 0731 costs $0.17 and MiniMax: MiniMax M2.7 costs $0.42.
Flip the shape — 100K in, 1M out — and it becomes $0.29 for DeepSeek: DeepSeek V4 Flash 0731 versus $1.23 for MiniMax: MiniMax M2.7.
Both figures are the published per-token rates multiplied out; caching and batch discounts are not included.
Usage Rank by Task
| Task | DeepSeek: DeepSeek V4 Flash 0731 | MiniMax: MiniMax M2.7 |
|---|---|---|
| Overall | #1 | #42 |
| Memory Extraction | #6 | — |
| Multi-step Planning | #2 | — |
| Tool Dispatch | #2 | — |
| Web Search | #4 | — |
| Agent Workflows | #5 | — |
| Classification & Tagging | #9 | — |
| Debugging | #3 | — |
| DevOps Config | #2 | — |
| File Read/Write | #3 | — |
| Frontend UI | #2 | — |
| Code Implementation | #3 | — |
| Repo Analysis | #3 | — |
| Code Review & Security | #3 | — |
| Shell Execution | #6 | — |
About DeepSeek: DeepSeek V4 Flash 0731 and MiniMax: MiniMax M2.7
DeepSeek: DeepSeek V4 Flash 0731
Built by deepseek · released Jul 2026 · 1M-token context
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
MiniMax: MiniMax M2.7
Built by minimax · released Mar 2026 · 205K-token context
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
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FAQ
Which is better, DeepSeek: DeepSeek V4 Flash 0731 or MiniMax: MiniMax M2.7?
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of MiniMax: MiniMax M2.7 at #42. DeepSeek: DeepSeek V4 Flash 0731 is cheaper on input tokens at $0.14/1M vs $0.30/1M for MiniMax: MiniMax M2.7. DeepSeek: DeepSeek V4 Flash 0731 offers the larger context window at 1M tokens.
Which is cheaper, DeepSeek: DeepSeek V4 Flash 0731 or MiniMax: MiniMax M2.7?
DeepSeek: DeepSeek V4 Flash 0731 is cheaper at $0.14 per 1M input tokens. Output pricing: DeepSeek: DeepSeek V4 Flash 0731 $0.28, MiniMax: MiniMax M2.7 $1.20.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.