Google: Gemini 3.1 Pro Preview (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 3.1 Pro Preview (batch) at #48. OpenAI: GPT-5.6 Luna (batch) is cheaper on input tokens at $0.10/1M vs $1/1M for Google: Gemini 3.1 Pro Preview (batch). OpenAI: GPT-5.6 Luna (batch) offers the larger context window at 1.1M tokens.
Google: Gemini 3.1 Pro Preview (batch) vs OpenAI: GPT-5.6 Luna (batch): which should you use?
Choose Google: Gemini 3.1 Pro Preview (batch) if…
- It accepts audio, video input, which OpenAI: GPT-5.6 Luna (batch) does not.
Choose OpenAI: GPT-5.6 Luna (batch) if…
- It sees more real traffic — #3 overall on OpenRouter's weekly ranking, against #48 for Google: Gemini 3.1 Pro Preview (batch).
- Cheaper to read — $0.10 vs $1 per 1M input tokens, which is what dominates long-prompt and RAG workloads.
- Cheaper to write — $0.60 vs $6 per 1M output tokens, the line item that decides generation-heavy costs.
- Bigger context window — 1.1M vs 1M tokens.
- It is the newer model — released Jul 2026 against Feb 2026.
Spec Comparison
| Spec | Google: Gemini 3.1 Pro Preview (batch) | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| Author | openai | |
| Input price (per 1M tokens) | $1 | $0.10 |
| Output price (per 1M tokens) | $6 | $0.60 |
| Context window | 1M | 1.1M |
| Input modalities | audio, file, image, text, video | file, image, text |
| Output modalities | text | text |
| AA Intelligence | — | — |
| AA Coding | — | — |
| AA Agentic | — | — |
| Released | Feb 2026 | Jul 2026 |
What Google: Gemini 3.1 Pro Preview (batch) and OpenAI: GPT-5.6 Luna (batch) actually cost to run
On a read-heavy job — 1M tokens in, 100K out — Google: Gemini 3.1 Pro Preview (batch) costs $1.60 and OpenAI: GPT-5.6 Luna (batch) costs $0.16.
Flip the shape — 100K in, 1M out — and it becomes $6.10 for Google: Gemini 3.1 Pro Preview (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 3.1 Pro Preview (batch) | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| Overall | #48 | #3 |
| Multi-step Planning | — | #6 |
| Tool Dispatch | — | #4 |
| Web Search | — | #9 |
| Agent Workflows | — | #7 |
| Classification & Tagging | — | #3 |
| Debugging | — | #7 |
| DevOps Config | — | #6 |
| File Read/Write | — | #6 |
| Frontend UI | — | #5 |
| Code Implementation | — | #5 |
| Repo Analysis | — | #5 |
| Code Review & Security | — | #5 |
| SQL & Database | — | #5 |
| Content Writing | — | #8 |
About Google: Gemini 3.1 Pro Preview (batch) and OpenAI: GPT-5.6 Luna (batch)
Google: Gemini 3.1 Pro Preview (batch)
Built by google · released Feb 2026 · 1M-token context
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
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...
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- Google: Gemini 3.1 Pro Preview (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 3.1 Pro Preview (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 3.1 Pro Preview (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 3.1 Pro Preview (batch) at #48. OpenAI: GPT-5.6 Luna (batch) is cheaper on input tokens at $0.10/1M vs $1/1M for Google: Gemini 3.1 Pro Preview (batch). OpenAI: GPT-5.6 Luna (batch) offers the larger context window at 1.1M tokens.
Which is cheaper, Google: Gemini 3.1 Pro Preview (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 3.1 Pro Preview (batch) $6, OpenAI: GPT-5.6 Luna (batch) $0.60.
Is OpenAI: GPT-5.6 Luna (batch) still ahead of Google: Gemini 3.1 Pro Preview (batch) right now?
Yes. For the week of 2026-08-10, OpenAI: GPT-5.6 Luna (batch) ranks #3 overall on OpenRouter usage against #48 for Google: Gemini 3.1 Pro Preview (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.