Google: Gemini 3.6 Flash (batch) vs OpenAI: GPT-5.6 Luna (batch)
Based on weekly OpenRouter usage tracked by AI Tier List, OpenAI: GPT-5.6 Luna (batch) ranks #3 overall — ahead of Google: Gemini 3.6 Flash (batch) at #9. OpenAI: GPT-5.6 Luna (batch) is cheaper on input tokens at $0.10/1M vs $0.38/1M for Google: Gemini 3.6 Flash (batch). OpenAI: GPT-5.6 Luna (batch) offers the larger context window at 1.1M tokens.
Google: Gemini 3.6 Flash (batch) vs OpenAI: GPT-5.6 Luna (batch): which should you use?
Choose Google: Gemini 3.6 Flash (batch) if…
- It accepts video, audio input, which OpenAI: GPT-5.6 Luna (batch) does not.
- It is the newer model — released Jul 2026 against Jul 2026.
Choose OpenAI: GPT-5.6 Luna (batch) if…
- It sees more real traffic — #3 overall on OpenRouter's weekly ranking, against #9 for Google: Gemini 3.6 Flash (batch).
- Cheaper to read — $0.10 vs $0.38 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Cheaper to write — $0.60 vs $1.88 per 1M output tokens, the line item that decides generation-heavy costs.
- Bigger context window — 1.1M vs 1M tokens.
Spec Comparison
| Spec | Google: Gemini 3.6 Flash (batch) | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| Author | openai | |
| Input price (per 1M tokens) | $0.38 | $0.10 |
| Output price (per 1M tokens) | $1.88 | $0.60 |
| Context window | 1M | 1.1M |
| Input modalities | text, image, video, file, audio | file, image, text |
| Output modalities | text | text |
| AA Intelligence | — | — |
| AA Coding | — | — |
| AA Agentic | — | — |
| Released | Jul 2026 | Jul 2026 |
What Google: Gemini 3.6 Flash (batch) and OpenAI: GPT-5.6 Luna (batch) actually cost to run
On a read-heavy job — 1M tokens in, 100K out — Google: Gemini 3.6 Flash (batch) costs $0.56 and OpenAI: GPT-5.6 Luna (batch) costs $0.16.
Flip the shape — 100K in, 1M out — and it becomes $1.91 for Google: Gemini 3.6 Flash (batch) versus $0.61 for OpenAI: GPT-5.6 Luna (batch).
Both figures are the published per-token rates multiplied out; caching and batch discounts are not included.
Usage Rank by Task
| Task | Google: Gemini 3.6 Flash (batch) | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| Overall | #9 | #3 |
| Multi-step Planning | — | #6 |
| Tool Dispatch | — | #4 |
| Web Search | — | #9 |
| Agent Workflows | — | #7 |
| Classification & Tagging | — | #3 |
| Debugging | #8 | #7 |
| DevOps Config | — | #6 |
| File Read/Write | — | #6 |
| Frontend UI | — | #5 |
| Code Implementation | — | #5 |
| Repo Analysis | — | #5 |
| Code Review & Security | — | #5 |
| Shell Execution | #2 | — |
| SQL & Database | — | #5 |
About Google: Gemini 3.6 Flash (batch) and OpenAI: GPT-5.6 Luna (batch)
Google: Gemini 3.6 Flash (batch)
Built by google · released Jul 2026 · 1M-token context
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
OpenAI: GPT-5.6 Luna (batch)
Built by openai · released Jul 2026 · 1.1M-token context
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Related comparisons
- Google: Gemini 3.6 Flash (batch) vs DeepSeek: DeepSeek V4 Flash 0731
- Google: Gemini 3.6 Flash (batch) vs Tencent: Hy3
- Google: Gemini 3.6 Flash (batch) vs DeepSeek: DeepSeek V4 Flash 0423
- OpenAI: GPT-5.6 Luna (batch) vs DeepSeek: DeepSeek V4 Flash 0731
- OpenAI: GPT-5.6 Luna (batch) vs Tencent: Hy3
- OpenAI: GPT-5.6 Luna (batch) vs DeepSeek: DeepSeek V4 Flash 0423
Get notified when Google: Gemini 3.6 Flash (batch) or OpenAI: GPT-5.6 Luna (batch) moves
Usage ranks and prices refresh weekly. We email you when they move — once a week, no spam.
FAQ
Which is better, Google: Gemini 3.6 Flash (batch) or OpenAI: GPT-5.6 Luna (batch)?
Based on weekly OpenRouter usage tracked by AI Tier List, OpenAI: GPT-5.6 Luna (batch) ranks #3 overall — ahead of Google: Gemini 3.6 Flash (batch) at #9. OpenAI: GPT-5.6 Luna (batch) is cheaper on input tokens at $0.10/1M vs $0.38/1M for Google: Gemini 3.6 Flash (batch). OpenAI: GPT-5.6 Luna (batch) offers the larger context window at 1.1M tokens.
Which is cheaper, Google: Gemini 3.6 Flash (batch) or OpenAI: GPT-5.6 Luna (batch)?
OpenAI: GPT-5.6 Luna (batch) is cheaper at $0.10 per 1M input tokens. Output pricing: Google: Gemini 3.6 Flash (batch) $1.88, OpenAI: GPT-5.6 Luna (batch) $0.60.
Which is better for coding, Google: Gemini 3.6 Flash (batch) or OpenAI: GPT-5.6 Luna (batch)?
Google: Gemini 3.6 Flash (batch). Best coding-task usage rank this week: Google: Gemini 3.6 Flash (batch) #2, OpenAI: GPT-5.6 Luna (batch) #5.
Is OpenAI: GPT-5.6 Luna (batch) still ahead of Google: Gemini 3.6 Flash (batch) right now?
Yes. For the week of 2026-08-10, OpenAI: GPT-5.6 Luna (batch) ranks #3 overall on OpenRouter usage against #9 for Google: Gemini 3.6 Flash (batch). Ranks refresh weekly, and the verdict on this page flips if they cross.
Usage ranks are weekly data aggregated by OpenRouter. Prices are USD per 1M tokens.