Data as of November 13, 2026 · How the score is built
Decision readingMercury Voice is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Email me when its price, rank or availability changes.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not publishedInception Mercury Voice launch post
- Context window
- 128KInception Mercury Voice launch post
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Generally available to enterprise customers through the Inception API as an OpenAI API-compatible endpoint. Inception lists a 128K-token context, up to 50K output tokens, low/medium/high reasoning effort, tool use, and structured output. The launch post does not publish a callable API model ID; enterprise access is arranged through Inception.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordInception Mercury Voice launch post
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Mercury Voice, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Mercury Voice is a proprietary model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Generally available to enterprise customers through the Inception API as an OpenAI API-compatible endpoint. Inception lists a 128K-token context, up to 50K output tokens, low/medium/high reasoning effort, tool use, and structured output. The launch post does not publish a callable API model ID; enterprise access is arranged through Inception.
Inception's September 29, 2026 launch post reports median time to first answer token of 320 ms and p95 of 750 ms on production voice prompts. It describes a composite across tau3-Bench Telecom, Retail, and Airline, IFBench, and BFCL v4, but does not expose a text table of individual scores. BenchLM leaves the benchmark row empty and ranking disabled until those values and evaluation details can be mapped exactly.
The profile has no source-displayable benchmark row yet.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Mercury Voice perform overall in AI benchmarks?
Mercury Voice does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Does Mercury Voice have full benchmark coverage on BenchLM?
No. Mercury Voice currently has 0 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Mercury Voice?
Mercury Voice has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.