GPT-6 Astra
Monthly API Cost Calculator
GPT-6 Astra rates: $10/1M input • $50/1M output. Pick a workload preset or enter your own token volumes.
Estimates use listed API rates at time of writing; providers may differ in caching discounts, rate limits, and batching pricing.
Capability Radar & Benchmark Scores
Multi-Axis Capability Radar
Comparing GPT-6 Astra against Frontier Top 10 & Open-Source average
Where GPT-6 Astra Leads
All Verified Benchmark Evaluations
Direct Pass@1 and resolution rates across standardized evaluations.
Run Benchmarks on Dedicated AI Clusters
Zero-cold-start inference endpoints with dedicated GPU instances.
Executive Analysis & Verdict
GPT-6 Astra by OpenAI is the next-generation frontier intelligence model scoring 68.5 overall, sweeping Computer Use (72.6% OSWorld 2.0, 92.7% ScreenSpot-Pro), Terminal-Bench 4.0 (57.9%), FrontierMath (97.6%), and ARC-AGI-3 (99.9%).
Key Strengths & Highlights
- •#1 Global Computer Use on ScreenSpot-Pro (92.7%), OSWorld 2.0 (72.6%), and Agents' Last Exam (59.3%)
- •#1 Frontier Coding & SRE on Terminal-Bench 4.0 (57.9%), DeepSWE v1.1 (74.1%), and SRE-Bench (88.0%)
- •#1 Abstract Reasoning & Mathematics on ARC-AGI-3 (99.9% T7), FrontierMath Tier 4 (97.6%), and GPQA Diamond (96.0%)
- •#1 100% ExploitBench Cybersecurity with 100% 256K-512K and 96.3% 1M MRCR v2 Long Context
Limitations & Considerations
- •Premium frontier API inference pricing
Architectural Overview & Capability Profile
GPT-6 Astra is developed by OpenAI as an advanced foundation model engineered for production enterprise applications, reasoning workflows, and autonomous problem-solving. On the comprehensive RankLLMs composite evaluation index, GPT-6 Astra registers an overall benchmark rating of 68.5 / 100.
Operating under a Proprietary license structure, GPT-6 Astra is served via high-throughput managed API endpoints designed for low-latency production queries.
Benchmark Performance & Real-World Utility
In standardized laboratory and real-world evaluation suites, GPT-6 Astra demonstrates calibrated proficiency across key performance vectors:
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SWE-bench Verified Software Engineering (74.1%): Measures multi-file GitHub issue resolution. The model demonstrates practical capability in localizing source code bugs, synthesizing functional patches, and passing rigorous integration test matrices. For evaluation methodology, consult our SWE-bench Pro guide.
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GPQA Diamond Scientific Reasoning (96%): Assesses graduate-level domain problem solving across physics, chemistry, and biology, minimizing hallucinations in multi-step deductive arguments. See our Humanity’s Last Exam benchmark analysis.
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MATH-500 Competition Mathematics (97.6%): Evaluates formal mathematical problem solving and symbolic derivation, providing foundational logic for algorithmic computing.
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Terminal-Bench Execution (57.9%): Reflects proficiency in interactive command-line environments, shell tool use, and automated DevOps scripting.
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Code Arena Preference Rating (2250 Elo): Validates human developer satisfaction in blind side-by-side coding evaluations against contemporary alternatives.
Inference Latency & Cost Architecture
- Token Context Window: 1.1M tokens, allowing large documents, multi-file codebases, and long conversation memories to be processed in a single context window.
- Inference Speed: Reference throughput clocks at approximately 59 tokens/second, enabling responsive streaming in developer tools and interactive interfaces.
- Commercial Pricing: API consumption is billed at $10.00 per 1M input tokens and $30.00 per 1M output tokens, offering predictable scaling for high-volume enterprise traffic.
Strengths, Limitations & Ideal Workflows
Primary Strengths
- #1 Global Computer Use on ScreenSpot-Pro (92.7%), OSWorld 2.0 (72.6%), and Agents’ Last Exam (59.3%)
- #1 Frontier Coding & SRE on Terminal-Bench 4.0 (57.9%), DeepSWE v1.1 (74.1%), and SRE-Bench (88.0%)
- #1 Abstract Reasoning & Mathematics on ARC-AGI-3 (99.9% T7), FrontierMath Tier 4 (97.6%), and GPQA Diamond (96.0%)
- #1 100% ExploitBench Cybersecurity with 100% 256K-512K and 96.3% 1M MRCR v2 Long Context
Known Considerations
- Premium frontier API inference pricing
Recommended Use Cases
Full-stack autonomous software engineering, desktop computer control, mission-critical cybersecurity operations, advanced mathematical research, and high-complexity professional CAD/E2E workflows.
Related Comparisons & Leaderboard Context
- Compare with alternatives in the Model Comparison Engine
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- Explore top coding models in our Best LLM for Coding Guide
Frequently Asked Questions About GPT-6 Astra
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