GPT-6.1 Sol vs GPT-6 Astra
GPT-6.1 Sol is from OpenAI, released September 29, 2026. GPT-6 Astra is from OpenAI, released September 3, 2026.
- LMArena Elo1481 vs 1476. GPT-6.1 Sol is 0.3% ahead on LMArena Elo.
- Input per 1M$2 vs $10. GPT-6.1 Sol costs 80% less per million input tokens.
- Output per 1M$10 vs $50. GPT-6.1 Sol costs 80% less per million output tokens.
- Context window1.05M vs 1.05M. Both hold 1.05M tokens of context.
Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.
Interactive Comparison
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$2 / $10 per million tokens | $10 / $50 per million tokens | |
|---|---|---|
| Identity | ||
| Developer | OpenAI | OpenAI |
| Released | Sep 2026 | Sep 2026 |
| Status | GA | GA |
| Licence | Proprietary | Proprietary |
| Self-hostable | No | No |
| Cost | ||
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $4.000 / 1M tokens | $20.000 / 1M tokens |
| Input price | $2.000 / 1M tokens | $10.000 / 1M tokens |
| Output price | $10.000 / 1M tokens | $50.000 / 1M tokens |
| Cached input | $0.10 per 1M tokens | $1 per 1M tokens |
| Batch discount | 50% (Batch and Flex) | 50% (Batch and Flex) |
| Capacity | ||
| Context window | 1,050,000 tokens | 1,050,000 tokens |
| Max output | 128,000 tokens | 128k tokens |
| Long-context surcharge | Over 272K input tokens: 2x input/cache rates and 1.5x output for the full request | Yes - prompts over 272K input tokens are priced at 2x input and cache rates and 1.5x output for the full request |
| Capability | ||
| Vision in | Yes | Yes |
| Audio in | No | No |
| Function calling | Yes | — |
| Structured output | Yes | — |
| Extended reasoning | Yes | — |
| Web search | Yes | — |
| Code execution | Yes | — |
| Access | ||
| API | Yes | Yes |
| Chat app | ChatGPT Work and Codex; not Chat at launch | Yes |
| Fine-tuning | No | — |
| Measured quality | ||
| LMArena Elo | 1481 (checked Nov 2026) | 1476 (checked Nov 2026) |
| LMArena rank | Rank 27 | Rank 37 |
| GPQA Diamond | 95 · max effort | 96 |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 370 | 74 |
