name = "GPT-6 Astra" description = "GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation." family = "gpt-astra" release_date = "2026-09-04" last_updated = "2026-09-04" attachment = true reasoning = true temperature = false tool_call = true structured_output = true knowledge = "2026-04-30" open_weights = false [limit] context = 1_050_000 input = 922_000 output = 128_000 [modalities] input = ["text", "image", "pdf"] output = ["text"] [[benchmarks]] name = "Agents' Last Exam" score = 59.3 source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "OSWorld" score = 72.6 metric = "partial score" dataset = "V2-Offline (v2026.08.08)" version = "2.0" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "ScreenSpot-Pro" score = 92.7 metric = "accuracy" variant = "no tools" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "AutomationBench" score = 41.4 metric = "success rate" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "BenchCAD" score = 95.9 metric = "geometric overlap" variant = "with tools" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "BrowseComp" score = 91.5 metric = "accuracy" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "Terminal-Bench" score = 57.9 metric = "success rate" version = "4.0" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "DeepSWE" score = 74.1 metric = "resolve rate" version = "1.1" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "FrontierCode" score = 64.5 metric = "score" dataset = "Extended" version = "1.1" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "Terminal-Bench Science" score = 64.6 metric = "success rate" version = "0.1" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "FrontierMath" score = 97.6 metric = "accuracy" dataset = "Tier 4" version = "v2" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "GPQA Diamond" score = 96.0 metric = "accuracy" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "Humanity's Last Exam" score = 57.2 metric = "accuracy" variant = "with tools" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "ExploitBench" score = 100.0 metric = "success rate" variant = "without production safeguards" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "SRE-Bench" score = 88.0 metric = "success rate" variant = "single attempt" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "ARC-AGI-3" score = 99.9 metric = "RHAE" harness = "Responses API" source = "https://openai.com/index/gpt-6-astra/" date = "2026-09-03" [[benchmarks]] name = "Artificial Analysis Intelligence Index" score = 61 metric = "index score" variant = "max" version = "4.1.1" source = "https://artificialanalysis.ai/articles/benchmarking-gpt-6-astra" date = "2026-09-03" [[benchmarks]] name = "Artificial Analysis Coding Agent Index" score = 67 metric = "index score" harness = "Codex" variant = "max" version = "1.4" source = "https://artificialanalysis.ai/articles/benchmarking-gpt-6-astra" date = "2026-09-03"