Side by side
| Gemini 4 Argon | GPT-6.1 Sol | |
|---|---|---|
| Lab | OpenAI | |
| Listed | Oct 13, 2026 | Sep 29, 2026 |
| Input per 1M tokens | $3.00 | $3.00 |
| Output per 1M tokens | $15.00 | $15.00 |
| Cached input per 1M | $0.15 | $0.15 |
| Blended (3:1) per 1M | $6.00 | $6.00 |
| Context window | 1M | 1.1M |
| Max output | 944K | 128K |
| Knowledge cutoff | - | - |
| Intelligence index | 50.4 | 54.6 |
| Coding index | - | - |
| Reasoning | Yes | Yes |
| Reads images | Yes | Yes |
| Tool use | Yes | Yes |
| Structured output | Yes | Yes |
| Measured output speed | 69 tokens/s | - |
Every benchmark both are scored on
Each model's best score per benchmark, with its source. Scores from different sources or settings are not always comparable; each links to where it was published.
In our tests and guides
Where Gemini 4 Argon or GPT-6.1 Sol ran on a real brief, or shows in a live table.
More comparisons
- Gemini 3.8 Flash vs Gemini 4 Argon
- Gemini 4 Argon vs GPT-6.1 Terra
- Claude Opus 5 vs Gemini 4 Argon
- Claude Fable 5.1 vs Gemini 4 Argon
- Claude Fable 5 vs Gemini 4 Argon
- GPT-6.1 Sol vs GPT-6 Luna
- GPT-6.1 Sol vs GPT-6.1 Terra
- Claude Opus 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Opus 5 vs GPT-6.1 Sol
Where these figures come from
Prices are GenMagic's own, what the studio and the API charge, recomputed from each provider's price list every few minutes. The indices are the Artificial Analysis indices, and every benchmark score links to its source, re-read daily. Measured speed is GenMagic's own generation records, in aggregate. See Google models, OpenAI models, every LLM's price and our sources.