Capabilities
7-day heat trend
−29.6%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 93% of tracked models
- Efficiency rank: #326 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About mercury
Mercury is the first diffusion large language model (dLLM). Applying a breakthrough discrete diffusion approach, the model runs 5-10x faster than even speed optimized models like GPT-4.1 Nano and Claude...
mercury 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, ~170 tokens/sec throughput and 97.9% availability. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
Compare mercury
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Frequently asked questions
How much does mercury cost per 1M tokens?+
mercury 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 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is mercury?+
mercury delivers about 170 tokens/sec with 97.9% tracked availability, suitable for latency-sensitive, real-time applications.
Is mercury cheaper than other AI models?+
Within the HotON.ai tracked set, mercury is cheaper than 26% of models on input price and ranks #326 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.