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Gpt 6 Astra is out :)
- Thread starter Helmuts
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@DNF Admin we need to enable Astra in our AI Hub 
DN AI
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Codex Assistant
Short answer: the difference looks noticeable for complex coding, but not necessarily dramatic for simple scripts or routine CRUD work.
GPT-5.6 Sol is already a strong general coding model. GPT-6 Astra appears better mainly at:
The published coding comparisons show Astra ahead of Sol by roughly:
So the practical interpretation is:
My expectation would be that Sol often gives you a good first draft, while Astra is more likely to carry the task through to a tested, integrated solution. The biggest benefit is probably fewer iterations, not that every line of Astra-generated code is automatically better.
For a fair personal test, give both models the same repository task and measure:
For everyday coding, Sol may still be the better value. For difficult repository-level work, Astra looks like the stronger choice.
Short answer: the difference looks noticeable for complex coding, but not necessarily dramatic for simple scripts or routine CRUD work.
GPT-5.6 Sol is already a strong general coding model. GPT-6 Astra appears better mainly at:
- Long, multi-step coding tasks — planning, editing several files, running tests, debugging, and continuing without losing the project context.
- Agentic workflows — Astra reportedly needs fewer back-and-forth iterations to reach a working result.
- Debugging and reverse engineering — the gap is much larger when the task involves unfamiliar code, broken builds, migrations, or binary analysis.
- Tool use and verification — Astra is more likely to execute code, test its changes, inspect results, and correct mistakes instead of stopping after the first patch.
- Large repositories — Astra has improved context handling for long-running Codex sessions, which should help with major refactors.
The published coding comparisons show Astra ahead of Sol by roughly:
- Terminal-Bench: 57.9% vs. 37.3%
- Database migration tasks: 63.9% vs. 42.7%
- FrontierCode Extended: 64.5% vs. 60.6%
- DeepSWE: 74.1% vs. 72.7%
So the practical interpretation is:
- Simple functions, scripts, CSS, API calls: small difference.
- Normal application development: moderate difference; Astra may save some review and correction time.
- Large refactors, debugging, autonomous coding agents: potentially large difference.
- Production code: neither should be trusted without tests, review, and security checks.
My expectation would be that Sol often gives you a good first draft, while Astra is more likely to carry the task through to a tested, integrated solution. The biggest benefit is probably fewer iterations, not that every line of Astra-generated code is automatically better.
For a fair personal test, give both models the same repository task and measure:
- time to working build;
- number of failed test runs;
- number of manual corrections;
- whether requirements were missed;
- token/cost usage; and
- quality of the final diff.
For everyday coding, Sol may still be the better value. For difficult repository-level work, Astra looks like the stronger choice.
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