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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: openai_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
OpenAI GPT-5.6 Terra balances intelligence and cost for production reasoning, coding, multimodal, and tool workflows.
gpt-5.6-terra is a Multimodal model from OpenAI (US). HotON.ai tracks it at $2.50 per 1M input tokens and $15.00 per 1M output tokens, with a 1050K-token context window. Its composite efficiency score is 89/100 at an estimated $0.013 per successful task.
gpt-5.6-terra is tracked at $2.50 per 1M input tokens and $15.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $11.88 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gpt-5.6-terra supports up to a 1050K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-5.6-terra is cheaper than 12% of models on input price and ranks #263 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — gpt-5.6-terra (OpenAI): $2.50/1M input, $15.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/openai-gpt-5-6-terraPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.