GPT-6 Astra vs Laguna S 2.1: Specs & Benchmark Comparison
GPT-6 Astra is developed by OpenAI, while Laguna S 2.1 comes from Poolside. Laguna S 2.1 was released in July 2026, and GPT-6 Astra followed 2 months later in September 2026. Laguna S 2.1 has a published size of about 118 billion parameters; OpenAI has not disclosed the parameter count of GPT-6 Astra.
We have 22 benchmark results for GPT-6 Astra and 6 benchmark results for Laguna S 2.1, but they overlap on a single test: DeepSWE 1.1, where GPT-6 Astra scores 74.1% against 40.4%.
Laguna S 2.1 is the cheaper API at $0.10 per million input tokens and $0.20 per million output tokens, roughly 100 times cheaper than GPT-6 Astra at $10 and $50. Both accept a context window of about 1M tokens. GPT-6 Astra accepts text and images as input, while Laguna S 2.1 accepts text. On tooling, only GPT-6 Astra supports function calling and only GPT-6 Astra offers structured output.
| Characteristic | GPT-6 Astra | Laguna S 2.1 |
|---|---|---|
| Company | OpenAI | Poolside |
| Release Date | September 4, 2026 | July 21, 2026 |
| Parameters | — | 118B |
| Multimodal | Yes | No |
| Context (input) | 1.1M | 1.0M |
| Context (output) | 128K | — |
| Input Price / 1M | $10.00 | $0.10 |
| Output Price / 1M | $50.00 | $0.20 |
| Average Score | 74.4% | 57.4% |
| Benchmarks | ||
| DeepSWE 1.1 | 74.1% | 40.4% |
Visual Benchmark Comparison
Verdict
GPT-6 Astra leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GPT-6 Astra — 0.7, Laguna S 2.1 — 0.6.
Laguna S 2.1 is 200.0x cheaper: input $0.10/1M vs $10.00/1M tokens.
GPT-6 Astra supports a larger context: 1M vs 1M tokens.
GPT-6 Astra is newer: released 9/4/2026 vs 7/21/2026.
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Frequently Asked Questions
Which is better for coding — GPT-6 Astra or Laguna S 2.1?
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The GPT-6 Astra and Laguna S 2.1 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 Laguna S 2.1 page. See also the complete list of AI model comparisons.