DeepSeek: DeepSeek V4 Flash 0731 vs OpenAI: GPT-5.6 Luna Pro (batch)
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of OpenAI: GPT-5.6 Luna Pro (batch) at #22. OpenAI: GPT-5.6 Luna Pro (batch) is cheaper on input tokens at $0.10/1M vs $0.14/1M for DeepSeek: DeepSeek V4 Flash 0731. OpenAI: GPT-5.6 Luna Pro (batch) offers the larger context window at 1.1M tokens.
DeepSeek: DeepSeek V4 Flash 0731 vs OpenAI: GPT-5.6 Luna Pro (batch): which should you use?
Choose DeepSeek: DeepSeek V4 Flash 0731 if…
- It sees more real traffic — #1 overall on OpenRouter's weekly ranking, against #22 for OpenAI: GPT-5.6 Luna Pro (batch).
- Cheaper to write — $0.28 vs $0.60 per 1M output tokens, the line item that decides generation-heavy costs.
- It is the newer model — released Jul 2026 against Jul 2026.
Choose OpenAI: GPT-5.6 Luna Pro (batch) if…
- Cheaper to read — $0.10 vs $0.14 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Bigger context window — 1.1M vs 1M tokens.
- It accepts file, image input, which DeepSeek: DeepSeek V4 Flash 0731 does not.
Spec Comparison
| DeepSeek: DeepSeek V4 Flash 0731 | OpenAI: GPT-5.6 Luna Pro (batch) | |
|---|---|---|
| Author | deepseek | openai |
| Input price (per 1M tokens) | $0.14 | $0.10 |
| Output price (per 1M tokens) | $0.28 | $0.60 |
| Context window | 1M | 1.1M |
| Input modalities | text | file, image, text |
| Output modalities | text | text |
| AA Intelligence | 51.8 | — |
| AA Coding | 69.1 | — |
| AA Agentic | 48.4 | — |
| Released | Jul 2026 | Jul 2026 |
What DeepSeek: DeepSeek V4 Flash 0731 and OpenAI: GPT-5.6 Luna Pro (batch) actually cost to run
On a read-heavy job — 1M tokens in, 100K out — DeepSeek: DeepSeek V4 Flash 0731 costs $0.17 and OpenAI: GPT-5.6 Luna Pro (batch) costs $0.16.
Flip the shape — 100K in, 1M out — and it becomes $0.29 for DeepSeek: DeepSeek V4 Flash 0731 versus $0.61 for OpenAI: GPT-5.6 Luna Pro (batch).
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 | OpenAI: GPT-5.6 Luna Pro (batch) |
|---|---|---|
| Overall | #1 | #22 |
| 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 OpenAI: GPT-5.6 Luna Pro (batch)
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....
OpenAI: GPT-5.6 Luna Pro (batch)
Built by openai · released Jul 2026 · 1.1M-token context
GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoningreasoning-mode
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FAQ
Which is better, DeepSeek: DeepSeek V4 Flash 0731 or OpenAI: GPT-5.6 Luna Pro (batch)?
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of OpenAI: GPT-5.6 Luna Pro (batch) at #22. OpenAI: GPT-5.6 Luna Pro (batch) is cheaper on input tokens at $0.10/1M vs $0.14/1M for DeepSeek: DeepSeek V4 Flash 0731. OpenAI: GPT-5.6 Luna Pro (batch) offers the larger context window at 1.1M tokens.
Which is cheaper, DeepSeek: DeepSeek V4 Flash 0731 or OpenAI: GPT-5.6 Luna Pro (batch)?
OpenAI: GPT-5.6 Luna Pro (batch) is cheaper at $0.10 per 1M input tokens. Output pricing: DeepSeek: DeepSeek V4 Flash 0731 $0.28, OpenAI: GPT-5.6 Luna Pro (batch) $0.60.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.