GPT-6: Astra for software engineering

Agentic coding: multi-file changes, terminal-driven workflows, and test-backed refactors with a reviewer in the loop.

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Last verified 5 September 2026.

Use GPT-6 Astra in 4 steps

Step 1 of 4

Try GPT-6 Astra in the OneInfer playground without writing code, or create an API key in the Console to call it from your app.

export ONEINFER_API_KEY="your-api-key"

The grounding numbers: DeepSWE v1.1 74.1%, Terminal-Bench 4.0 57.9%

GPT-6: Astra scores 74.1% on DeepSWE v1.1 and 57.9% on Terminal-Bench 4.0, OpenAI's own agentic-coding evaluations. Honestly stated: on the independent Artificial Analysis Coding Agent Index, Claude Fable 5.1 currently leads at 70 against Astra's 67. Astra is a strong coding agent, not the leading one on this specific independent composite.

Example prompt

Example
Plan the following engineering objective as a sequence of checkpoints with dependencies, failure recovery, validation gates (tests to run at each step), and a handoff summary:

[Describe the objective here]

Who should look elsewhere

If the independent Coding Agent Index is your deciding factor and price is comparable, Claude Fable 5.1 currently scores higher. Evaluate both on your own repository and test suite before committing production routing to either.

Ready to test the workflow?

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Recommended access

Use pay-as-you-go API credits for a controlled evaluation on your own workload and cost profile before committing production routing.

Put GPT-6: Astra to work

Fund a controlled evaluation, start with a prepared prompt, and measure quality and cost on your own workload.

Create account & add creditsRun this with GPT-6: Astra