Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
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: sensenova_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
SenseNova embedding reference row for stable text vectorization and retrieval metadata.
nova-embedding-stable is a Text model from SenseNova (CN). HotON.ai tracks it at $0.07 per 1M input tokens and $0.00 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
nova-embedding-stable is tracked at $0.07 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.02 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.
nova-embedding-stable supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, nova-embedding-stable is cheaper than 88% of models on input price and ranks #372 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.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — nova-embedding-stable (SenseNova): $0.07/1M input, $0.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/sensenova-nova-embedding-stablePricing 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.