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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: upstage_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational eff...
solar-pro-3 is a Text model from Upstage (US). HotON.ai tracks it at $0.15 per 1M input tokens and $0.60 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
solar-pro-3 is tracked at $0.15 per 1M input tokens and $0.60 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.49 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
solar-pro-3 supports up to a 128K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, solar-pro-3 is cheaper than 70% of models on input price and ranks #120 of 535 by overall efficiency.
Yes — deepseek/deepseek-v4-flash is a lower-cost option at $0.28 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — solar-pro-3 (Upstage): $0.15/1M input, $0.60/1M output, as of 2026-05-11. https://hoton.ai/en/models/upstage-solar-pro-3Pricing 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.