GPT-6 Astra vs GPT-6.1 Sol: Specs & Benchmark Comparison
GPT-6 Astra and GPT-6.1 Sol both come from OpenAI, and both were released in September 2026.
The two models share 4 published benchmarks. They split them evenly, 2 to 2. The widest gaps are on Terminal-Bench Science 0.1, where GPT-6 Astra scores 64.6% against 57.0%; OSWorld 2.0, where GPT-6 Astra scores 72.6% against 71.4%. Averaged across everything we track, GPT-6 Astra sits at 74.4% and GPT-6.1 Sol at 58.5%.
GPT-6.1 Sol is the cheaper API at $2 per million input tokens and $10 per million output tokens, roughly 5 times cheaper than GPT-6 Astra at $10 and $50. Both accept a context window of about 1M tokens. Both accept text and images as input.
| Characteristic | GPT-6 Astra | GPT-6.1 Sol |
|---|---|---|
| Company | OpenAI | OpenAI |
| Release Date | September 4, 2026 | September 29, 2026 |
| Parameters | — | — |
| Multimodal | Yes | Yes |
| Context (input) | 1.1M | 1.1M |
| Context (output) | 128K | 128K |
| Input Price / 1M | $10.00 | $2.00 |
| Output Price / 1M | $50.00 | $10.00 |
| Average Score | 74.4% | 58.5% |
| Benchmarks | ||
| Terminal-Bench Science 0.1 | 64.6% | 57.0% |
| OSWorld 2.0 | 72.6% | 71.4% |
| DeepSWE 1.1 | 74.1% | 75.2% |
| HealthBench Professional | 63.4% | 64.2% |
Visual Benchmark Comparison
Verdict
GPT-6.1 Sol leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GPT-6 Astra — 0.7, GPT-6.1 Sol — 0.6.
GPT-6.1 Sol is 5.0x cheaper: input $2.00/1M vs $10.00/1M tokens.
Same context size: 1M tokens.
GPT-6.1 Sol is newer: released 9/29/2026 vs 9/4/2026.
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Frequently Asked Questions
Which is better for coding — GPT-6 Astra or GPT-6.1 Sol?
Which model is cheaper — GPT-6 Astra or GPT-6.1 Sol?
Which has a larger context window — GPT-6 Astra or GPT-6.1 Sol?
The GPT-6 Astra and GPT-6.1 Sol comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-6 Astra or GPT-6.1 Sol page. See also the complete list of AI model comparisons.