Capabilities
7-day heat trend
−25.2%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 58% of tracked models
- Efficiency rank: #341 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About mercury-2-structured-outputs
Inception Mercury 2 supports JSON-schema constrained structured outputs for typed application responses.
mercury-2-structured-outputs 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 128K-token context window, ~152 tokens/sec throughput and 96.2% availability. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
Compare mercury-2-structured-outputs
Related market news
Frequently asked questions
How much does mercury-2-structured-outputs cost per 1M tokens?+
mercury-2-structured-outputs 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-2-structured-outputs best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is mercury-2-structured-outputs?+
mercury-2-structured-outputs delivers about 152 tokens/sec with 96.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is mercury-2-structured-outputs cheaper than other AI models?+
Within the HotON.ai tracked set, mercury-2-structured-outputs is cheaper than 26% of models on input price and ranks #341 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.