LiquidAI: LFM2.5-24B-A2B
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
Drama 3 is a text-to-speech model from Fish Audio built for directed voice performances. You write the direction in plain language in square brackets before a line, such as `[nervous,...
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...
Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the...
Classify-1 is a structured decision model from ScaleDown, served through TVP's Decisions API. It scores text or a document against caller-defined choice, yes/no, and ordered-scale questions and returns calibrated probabilities...
This model always redirects to the latest model in the Decider 27B family.
Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to [Drex v1.5](TVP catalog). Given a state (text or JSON) and typed questions (yes/no, multiple choice,...
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Microsoft-Decision-1 is a small model built for fast decision-making. Instead of generating text, it reads the provided content and returns a calibrated probability for each fixed answer option, so the...
Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for...
These internal routes help buyers move from generic catalog browsing into comparison and buying-intent pages.
Shortlist useful models before drilling into the full marketplace.
Strong fit for complex work with reasoning support and large context.
Lowest combined TVP input and output price among paid text models.
Image-capable model selected from live pricing and capability data.
Largest context window with numeric input and output pricing.
Simple pricing rules, live source data, and exact decimals remain visible for review.
TVP reads current provider catalog data and refreshes on demand.
Buyers can compare options using one consistent TVP pricing view.
Tiny token decimals are normalized into buyer-readable rates.
Detailed pricing fields remain visible for audit and billing checks.
Last synced: 10/13/2026, 7:56:50 PM