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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 2026-05-11 · Source: upstage_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Upstage Solar Embedding is the embedding model listed for semantic search and retrieval workloads.
solar-embedding-1-large is a Text model from Upstage (US). HotON.ai tracks it at $0.10 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
solar-embedding-1-large is tracked at $0.10 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.03 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-embedding-1-large supports up to a 1K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, solar-embedding-1-large is cheaper than 79% of models on input price and ranks #390 of 535 by overall efficiency.
Yes — voyage-4-lite is a lower-cost option at $0.00 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-embedding-1-large (Upstage): $0.10/1M input, $0.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/upstage-solar-embedding-1-largePricing 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.