Search, filter, compare, and audit live model pricing with TVP buyer pricing.
GLM-5.3-FlashX-Legal (GLM-Legal) is Z.ai's legal-domain variant of GLM-5.3-FlashX, a native multimodal model that accepts text, image, and video input and produces text. It adds legal-domain mid-training and post-training with reinforcement...
TBC mischief 1 is the world's first neuron-derived video model from The Biological Computing Co. It supports image to video and is a fast and affordable way to bring ideas...
Joey 1 is a 2B decision model from Base Labs, Baseten's research team, built on Qwen3.5-2B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
Riverflow 2.6 Pro is the flagship model of Sourceful's Riverflow 2.6 lineup, a unified text-to-image and image-to-image family that treats generation as a production workflow: an integrated reasoning model plans...
Nemotron 3.5 Transcribe is an open-weight speech recognition model from NVIDIA, a 30B mixture-of-experts with about 4B active parameters. It transcribes recordings of up to one hour in 40 languages,...
AssemblyAI TTS 1 is a text-to-speech model from AssemblyAI. It is suited for voice agents, narration, and multilingual applications, and draws on a public library of several thousand voices across...
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...
d1.1 is Liquid AI's structured decision model, served as a System One endpoint and the successor to d1. Send a state along with typed questions, and it returns a choice,...
This model always redirects to the latest model in the d1-ultra family.
This model always redirects to the latest model in the d1 family.
Amazon Titan Multimodal Embeddings G1 embeds text, images, or text and image together into a shared vector space for multimodal search and recommendation. Images are sent as base64 (up to...
Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the `dimensions` parameter is...
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: 11/2/2026, 9:02:44 PM
