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Gemini 3.7 Flash vs GPT-6 Luna (batch)
Gemini 3.7 Flash (Google DeepMind) and GPT-6 Luna (batch) (OpenAI) compared on benchmarks, pricing, context window, and use-case rankings.
- GPT-6 Luna (batch) is cheaper on input tokens — $0.05 vs $0.75 per 1M.
- GPT-6 Luna (batch) has a larger context window (1.1M vs 1M tokens).
| Attribute | Gemini 3.7 Flash | GPT-6 Luna (batch) |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 157 | — |
| Coding | 91 | — |
| Math | 80 | — |
| Reasoning & Knowledge | 85 | — |
| Agentic & Tools | 98 | — |
| Specifications | ||
| Developer | Google DeepMind | OpenAI |
| Family | Gemini | GPT |
| Released | Aug 13, 2026 | Sep 22, 2026 |
| Parameters | — | — |
| Availability | API access | — |
| Context window | 1M | 1.1M |
| Price — $/M input | $0.75 | $0.05 |
| Price — $/M output | $3.75 | $0.25 |
| Inputs | text, image, video, file, audio | file, image, text |
| Outputs | text | text |
| Benchmarks | ||
| AIME 2024/2025 | 97% | — |
| APEX | 68% | — |
| ARC-AGI | 96% | — |
| ARC-AGI-2 | 85% | — |
| GPQA Diamond | 95% | — |
| Humanity's Last Exam | 39% | — |
| SciCode | 60% | — |
| SimpleQA Verified | 69% | — |
| WebDev Arena | 1587 | — |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Which is cheaper, Gemini 3.7 Flash or GPT-6 Luna (batch)?
GPT-6 Luna (batch) is cheaper on input tokens at $0.05 per million, versus $0.75 (representative OpenRouter pricing).
Which has a larger context window, Gemini 3.7 Flash or GPT-6 Luna (batch)?
GPT-6 Luna (batch) supports up to 1.1M tokens, compared with 1M for the other.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.