Google's frontier model, announced in September 2026 and released first to selected cyber defenders
Mercury Voice
Diffusion language model from Inception for enterprise teams building real-time voice agents, announced in September 2026
- Artificial Intelligence - AI
- Machine Learning
- Artificial Intelligence Software
- Call Center Software
About Mercury Voice
A voice agent has a fraction of a second to answer before a pause feels awkward, and Mercury Voice is built for that. Inception announced the diffusion language model on its blog on 29 September 2026, for real-time voice agents.
Diffusion instead of word-by-word generation
Inception's Mercury models generate text by diffusion: they refine many tokens in parallel rather than producing one token at a time. That is the basis for the speed Inception claims, and Mercury Voice applies that to the brief exchanges typical of spoken dialogue. The company already lists an earlier model in the family, Mercury 2.5.
Specifications and access
The announcement gives limits of 128,000 tokens in and 50,000 tokens out. It is available to enterprise customers through Inception's OpenAI-compatible API, by contacting its sales team, rather than through open self-serve sign-up.
Speed figures
Inception quotes 320 milliseconds as the median wait for a first token and 750 milliseconds at the 95th percentile. It compares its speed favorably with a leading mid-tier frontier model. It also refers to a conversational-agent benchmark but publishes no numbers that can be verified. These are the vendor's own measurements, and no independent report or measurement of Mercury Voice was found.
Pricing in outline
Inception quotes per-million-token rates for input and output, with a launch discount of 50 percent, and translates that into an approximate cost per minute of conversation. Buyers should confirm current rates with the vendor.
TrustList summary
Mercury Voice is a diffusion language model from Inception, built for real-time voice agents and announced on 29 September 2026. Inception's Mercury models produce text by refining many tokens in parallel instead of generating one token at a time, and this model is aimed at the short, quick turns of a spoken conversation.
What Mercury Voice offers
- Voice-agent language model: text generation tuned for the turn-by-turn pace of spoken conversations.
- Long inputs and outputs: up to 128,000 input tokens and 50,000 output tokens.
- Enterprise access: available through an OpenAI-compatible API, for enterprise customers who contact Inception's sales team.
- Speed figures: Inception's own figures put the median wait for the first token at 320 milliseconds, and 750 milliseconds at the 95th percentile.
Clients
Enterprise customers building voice agents. Inception's speed and benchmark results are its own, and no independent measurement of the model was found.
Key facts
- Released: 29 September 2026
- Maker: Inception
- Access: enterprise customers, through the API or by contacting sales
Summary written by TrustList from the business's own published information, Nov 2026.
Benchmarks & AI stats
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Categories & features
- Artificial Intelligence - AI
- Machine Learning
- Artificial Intelligence Software
- Call Center Software
What the business tells TrustList
- Founded
- 2026 (0 years) evidence sent
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