---
title: Model Catalog & Pricing
description: The AI models Edgaze workflows can call, what hosted runs cost per model, and how older model ids are automatically migrated to current ones.
source: https://www.edgaze.ai/docs/model-catalog-pricing
last_updated: 2026-07-18
section: legal
---
# Model Catalog & Pricing

> The AI models Edgaze workflows can call, what hosted runs cost per model, and how older model ids are automatically migrated to current ones.

## Overview

Every LLM block in an Edgaze workflow (LLM Chat, LLM Image, Embeddings, AI Conditions) runs against a curated model catalog. This page lists the current catalog, the hosted platform rate for each model, and explains what happens to workflows that reference older models.

Rates below are the **hosted platform rates** used for run billing, cost estimation, and holds. They track provider list pricing and include a small platform margin that covers orchestration, retries, and infrastructure variance. This page renders live from the same model catalog the builder and billing engine use, so it can never fall out of date.

For how per-run estimates are produced, read [Infrastructure Cost Estimation](/docs/infrastructure-cost-estimation). For how estimates combine with creator margin, read [Marketplace Fees](/docs/marketplace-fees).

## Chat Models

```docmodels
{"modality":"chat"}
```

GPT-5.6 tiers, Kimi K2.6, and DeepSeek V4 Pro are served from Edgaze's managed Azure AI Foundry capacity on hosted runs. Claude models are served directly from Anthropic, Gemini models directly from Google.

## Image Models

```docmodels
{"modality":"image"}
```

OpenAI image rates vary with size and quality settings; the estimator prices the configured variant.

## Embedding Models

```docmodels
{"modality":"embedding"}
```

## Bring Your Own Key (BYOK)

BYOK runs call the provider directly on **your** API key. OpenAI-brand, Anthropic, and Google models support this, and the token cost lands on your provider account instead of the rates above (a flat orchestration fee applies; see [BYOK](/docs/billing/byok)). Kimi K2.6 and DeepSeek V4 Pro run exclusively on Edgaze's managed capacity and do not support BYOK.

## Automatic Model Migration

Providers retire models on their own schedules, and the Edgaze catalog evolves with them. You never need to hand-edit old workflows:

- **Selectable models** appear in the builder dropdown and are fully supported.
- **Deprecated models** disappear from the dropdown but keep running and billing at their listed rate. Existing workflows are unaffected.
- **Retired models** are automatically routed to their designated successor **within the same provider family** at run time (for example, `gpt-4o-mini` → GPT-5.6 Luna, `claude-sonnet-4-6` → Claude Sonnet 5, `dall-e-3` → OpenAI Image 1.5). Cost estimates, holds, and billing all use the successor's rate, so what you're quoted always matches what actually runs.

Stored workflows are never bulk-edited: the remap happens when a run executes, and the builder writes the current id the next time you save a workflow.

## Reliability

Every chat and image model carries an ordered cross-provider failover chain. If a provider returns a transient error (rate limit, timeout, outage) mid-run, the engine substitutes the next model in the chain, capped by your run's cost hold, so failover can never make a run more expensive than what was quoted.

## Questions

Contact [support@edgaze.com](mailto:support@edgaze.com) for pricing questions, or see [Pricing & Limits](/docs/pricing-limits) for account-level limits.