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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: inception_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Inception Mercury Edit 2 powers the Next Edit endpoint for predicting the next developer code change.
mercury-edit-2-next-edit is a Text model from Inception (US). HotON.ai tracks it at $0.25 per 1M input tokens and $0.75 per 1M output tokens, with a 32K-token context window. Its composite efficiency score is 88/100 at an estimated $0.001 per successful task.
mercury-edit-2-next-edit is tracked at $0.25 per 1M input tokens and $0.75 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.63 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.
mercury-edit-2-next-edit supports up to a 32K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, mercury-edit-2-next-edit is cheaper than 58% of models on input price and ranks #338 of 535 by overall efficiency.
Yes — 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 — mercury-edit-2-next-edit (Inception): $0.25/1M input, $0.75/1M output, as of 2026-05-11. https://hoton.ai/en/models/inception-mercury-edit-2-next-editPricing 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.