DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemini 3.5 Flash (batch)
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of Google: Gemini 3.5 Flash (batch) at #50. DeepSeek: DeepSeek V4 Flash 0731 is cheaper on input tokens at $0.14/1M vs $0.75/1M for Google: Gemini 3.5 Flash (batch).
DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemini 3.5 Flash (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 #50 for Google: Gemini 3.5 Flash (batch).
- Cheaper to read — $0.14 vs $0.75 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Cheaper to write — $0.28 vs $4.50 per 1M output tokens, the line item that decides generation-heavy costs.
- Higher Artificial Analysis agentic score — 48.4 vs 39.7.
- It is the newer model — released Jul 2026 against May 2026.
Choose Google: Gemini 3.5 Flash (batch) if…
- Higher Artificial Analysis intelligence index — 52.0 vs 51.8.
- Higher Artificial Analysis coding score — 70.1 vs 69.1.
- It accepts image, video, file, audio input, which DeepSeek: DeepSeek V4 Flash 0731 does not.
Spec Comparison
| DeepSeek: DeepSeek V4 Flash 0731 | Google: Gemini 3.5 Flash (batch) | |
|---|---|---|
| Author | deepseek | |
| Input price (per 1M tokens) | $0.14 | $0.75 |
| Output price (per 1M tokens) | $0.28 | $4.50 |
| Context window | 1M | 1M |
| Input modalities | text | text, image, video, file, audio |
| Output modalities | text | text |
| AA Intelligence | 51.8 | 52.0 |
| AA Coding | 69.1 | 70.1 |
| AA Agentic | 48.4 | 39.7 |
| Released | Jul 2026 | May 2026 |
What DeepSeek: DeepSeek V4 Flash 0731 and Google: Gemini 3.5 Flash (batch) actually cost to run
On a read-heavy job — 1M tokens in, 100K out — DeepSeek: DeepSeek V4 Flash 0731 costs $0.17 and Google: Gemini 3.5 Flash (batch) costs $1.20.
Flip the shape — 100K in, 1M out — and it becomes $0.29 for DeepSeek: DeepSeek V4 Flash 0731 versus $4.58 for Google: Gemini 3.5 Flash (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 | Google: Gemini 3.5 Flash (batch) |
|---|---|---|
| Overall | #1 | #50 |
| 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 Google: Gemini 3.5 Flash (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....
Google: Gemini 3.5 Flash (batch)
Built by google · released May 2026 · 1M-token context
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
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FAQ
Which is better, DeepSeek: DeepSeek V4 Flash 0731 or Google: Gemini 3.5 Flash (batch)?
Based on weekly OpenRouter usage tracked by AI Tier List, DeepSeek: DeepSeek V4 Flash 0731 ranks #1 overall — ahead of Google: Gemini 3.5 Flash (batch) at #50. DeepSeek: DeepSeek V4 Flash 0731 is cheaper on input tokens at $0.14/1M vs $0.75/1M for Google: Gemini 3.5 Flash (batch).
Which is cheaper, DeepSeek: DeepSeek V4 Flash 0731 or Google: Gemini 3.5 Flash (batch)?
DeepSeek: DeepSeek V4 Flash 0731 is cheaper at $0.14 per 1M input tokens. Output pricing: DeepSeek: DeepSeek V4 Flash 0731 $0.28, Google: Gemini 3.5 Flash (batch) $4.50.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.