Compare GPT 5.6 Sol from OpenAI and GPT 5.6 Sol Disc from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT 5.6 SolGPT 5.6 Sol DiscGPT‑5.6 Sol sets a new standard for both intelligence and efficiency, achieving state-of-the-art results across coding, knowledge work, cybersecurity, and science while outperforming previous and competing frontier models with fewer tokens and at lower estimated cost.
GPT-5.6 Sol (limited-time 50% off) is OpenAI’s frontier reasoning model for complex coding, professional knowledge work, deep research, and long-running agents. It supports a roughly 1.05M-token context window, image understanding, and extensive tool use. Compared with Terra and Luna, Sol prioritizes capability and reliability on demanding tasks.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
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GPT 5.6 Sol Disc: $10/M output tokens; GPT 5.6 Sol: $20/M. Use the cost calculator above to estimate your own workload.
GPT 5.6 Sol: 5.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GPT 5.6 Sol accepts 1,050,000 and GPT 5.6 Sol Disc accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Sol and 128,000 tokens on GPT 5.6 Sol Disc.
GPT 5.6 Sol Disc at 69.7 tok/s and GPT 5.6 Sol at 49.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GPT 5.6 Sol accepts text and image input and supports tool calling, thinking and structured outputs; GPT 5.6 Sol Disc accepts text and image input and supports tool calling, thinking and structured outputs.
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