GPT-6 Astra vs GPT-5.6 Sol
Source-checked evaluation entries, evidence gaps and checked price quotes where available.
GPT-6 Astra
GPT-6 Astra (Max). Board 2026-10-20; checked 2026-10-22.
OpenAI pricing · checked 2026-10-22. Context tiers and cache-hit rates may differ.
GPT-5.6 Sol
GPT-5.6 Sol (xHigh). Board 2026-10-20; checked 2026-10-22.
OpenAI pricing · checked 2026-10-22. Context tiers and cache-hit rates may differ.
What the evidence supports
The recorded entries are GPT-6 Astra (Max) (1476 ± 6) and GPT-5.6 Sol (xHigh) (1484 ± 4).
Their point estimates differ by 8 points. The displayed ranges overlap; this is not a test of task-specific superiority or a guarantee about a different configuration.
The former composite, MMLU and cost-per-capability recommendations are withdrawn because their inputs included unsupported estimates. No upgrade or overall capability recommendation is made from those numbers.
In the selected standard short-context input quotes, GPT-5.6 Sol has the lower rate, by a ratio of 2.5 to one. DeepSeek uses peak pricing. This is input pricing only; it does not estimate a whole workload or establish account access.
Price quotes are from the selected provider registry checked 2026-10-22. Unverified legacy quotes are withheld. Use the token calculator for input, output, cache-hit and context-tier scenarios. Additional service charges and account-specific terms can change a bill. Missing pricing evidence does not mean free inference.
Before choosing a deployment
Use the exact configuration you would deploy on a fixed set of representative tasks. Record accepted answers, failures, end-to-end latency and total metered cost. Check licensing, hosting options and data requirements directly with each provider. This is a proposed evaluation procedure; AI Mastery has not run a head-to-head workload test for this pairing.
The leaderboard records the verified variants and withheld columns. The separate benchmark matrix contains dated provider disclosures and needs its own source/version review.
Reporting on OpenAI
Build an Agentic Browser Research Workflow with LlamaIndex
Use LlamaIndex AgentWorkflow to coordinate DuckDuckGo search, Playwright navigation, and AgentQL extraction into a reproducible research agent.
AI Deployment Interfaces: Typed Decisions, Identity and Action
Compare typed decision APIs and native action outputs while keeping calibration, permissions and application validation separate.
OpenAI Decisions API Beta: 10x Faster Typed Answers, $0.10 Input
OpenAI's gpt-6-luna Decisions endpoint returns probabilities, choices and scores at $0.10 per million input tokens, with no output fees and a vendor-stated 10x speedup.