GPT-6 Astra

Release facts and lifecycle

Release announced

September 3, 2026

Model ID

gpt-6-astra

API formats

Responses and Chat Completions

Migration constraint

No none reasoning effort, custom temperature, top_p or logprobs

Original provider sources checked 2026-10-10. These are source facts, not a benchmark of Flonno's deployment.

Where to start

Use a task with a verifiable final artifact and multiple steps. Record whether the agent finishes, recovers from errors and preserves source evidence. Inspect actual tool execution and total usage.

• Complex reasoning
• Computer use
• Research agents

What to check before deployment

GPT-6 Astra does not support none reasoning effort, custom temperature, top_p or logprobs. Check your request adapter before replaying prompts from earlier models.

Confirm the exact model ID, checkpoint revision and endpoint in your test record. A base model name does not establish a provider's quantization, accepted inputs, context limit or current availability.

Measure useful results

Build a small evaluation from the workflow you already run. Define the expected answer before testing. Track correct results, formatting errors, retries, complete request time and reported input and output usage.

Count rejected answers and manual corrections. A low token rate can still produce a high cost per accepted result when the workflow needs retries or repair.

Sources and scope

This page is an editorial evaluation guide, not a benchmark result or a claim that this model is served by Flonno.

License / access: Provider service terms. Read the linked license or service terms for the full conditions. Original release and lifecycle sources checked 2026-10-10.