Capabilities
7-day heat trend
+9.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 26% of tracked models
- Faster than 26% of tracked models
- Efficiency rank: #984 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About mercury-edit-2-next-edit
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, ~135 tokens/sec throughput and 98.8% availability. Its composite efficiency score is 88/100 at an estimated $0.001 per successful task.
Compare mercury-edit-2-next-edit
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Frequently asked questions
How much does mercury-edit-2-next-edit cost per 1M tokens?+
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.
What is mercury-edit-2-next-edit best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is mercury-edit-2-next-edit?+
mercury-edit-2-next-edit delivers about 135 tokens/sec with 98.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is mercury-edit-2-next-edit cheaper than other AI models?+
Within the HotON.ai tracked set, mercury-edit-2-next-edit is cheaper than 26% of models on input price and ranks #984 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.