Scores help you shortlist. The final decision should come from one repeated task using your own inputs.
VS
02 · DEFINE THE BUYER
The winner changes when the job changes.
HubAI applies visible rule-based adjustments to the catalogue evidence. This is a shortlist signal, not a substitute for testing.
S6
Code AI
GPT-6 Sol
58FIT /100
A new workhorse route for difficult coding and agent tasks with a 1.05M context window. The specifications and price are concrete, but the launch performance claims are vendor-reported, so HubAI withholds a score until a same-work test measures accepted results and complete cost.
Best for
Complex coding, agentic and professional tasks where higher accepted-task quality can justify a premium over a volume model
Price
$2/1M input, $0.20/1M cached input, $2.50/1M cache write and $10/1M output at standard API rates; requests above 272K input use higher rates
Free / trial
Metered API access; gradual availability in ChatGPT Work and Codex for eligible paid, Business, Enterprise and Edu plans, plus selected paid GitHub Copilot plans
Watch-out
Launch benchmarks, factuality and safety comparisons are provider-reported
Low confidence · Score v1.1+ Catalogue evidence available for review.! Output quality needs a same-task proof check.
The low-cost baseline in OpenAI's new family, with the same published context and output limits as Sol. It should be tested first for volume workflows, but HubAI assigns no score until reliability, tool use, latency and accepted-output cost are measured independently.
Best for
High-volume extraction, classification, transformation and first-pass agent work that needs low token cost and a large context window
Price
$0.10/1M input, $0.01/1M cached input, $0.125/1M cache write and $0.50/1M output at standard API rates; requests above 272K input use higher rates
Free / trial
Metered API access; gradual rollout through ChatGPT Work, Codex and eligible GitHub Copilot plans, with Luna desktop access announced for Free and Go users
Watch-out
Lower token price is not evidence of adequate task quality or lower complete cost
Low confidence · Score v1.1+ Catalogue evidence available for review.! Output quality needs a same-task proof check.
A score is only useful when the test matches the category.
Video tools are judged differently from code assistants. HubAI keeps the four shared dimensions visible, then adds a job-specific test plan to every comparison.