Model catalog
The model catalog behind every picker in Tale — where it lives under Settings > AI providers, what the capability tags mean, which defaults ship, and how the list stays fresh.
7 min read
Every model picker in Tale — the chat's model menu, an agent's model binding, the defaults the crawler and RAG services use — draws from one catalog: the models declared on your organisation's AI providers. A fresh instance ships with a single provider, OpenRouter, whose one key covers chat, vision, embeddings, transcription, text-to-speech, and image generation. This page is the reference for where that catalog lives in the UI, what the tags on each model mean, and what ships out of the box.
Where the catalog lives
Open Settings > AI providers and click a provider row. The drawer lists everything the provider declares: its base URL and API key, its Default Models, and the Models list itself — searchable, with Show more past the first ten. Add model declares a new entry by hand; Fetch models pulls the list the provider's API reports. Models an admin marks as Hidden from model pickers stay resolvable for existing bindings but stop appearing in menus — that is how superseded versions retire without breaking old agents.
Each model carries one or more capability tags: Chat, Vision, Embedding, Transcription, Text-to-speech, Image generation, Image edit. The tags are load-bearing — they decide which pickers a model shows up in and which platform capability is allowed to call it. A model with no matching tag never appears where that capability is needed.
The shipped defaults
The Default Models card names which model each background capability uses when nothing more specific is bound:
| Capability | Shipped default |
|---|---|
| Chat | DeepSeek V4 Flash |
| Vision | Qwen3 VL 32B |
| Embedding | Qwen3 Embedding 8B |
| Image generation | FLUX.2 [pro] |
| Transcription | Whisper v1 |
Text-to-speech for voice mode ships on OpenAI's GPT-4o mini TTS through the same OpenRouter key, and image generation defaults to FLUX.2 [pro].
How the list stays fresh
Models drift faster than docs. Two mechanisms on the AI providers page keep the catalog current: the Model catalog card refreshes model capabilities — pricing, context window, reasoning, vision — from OpenRouter's public catalog daily, and the Weekly auto-sync of provider config toggle merges newly released flagship versions into the org's provider config once a week, hiding superseded ones and leaving any field you customised untouched.
The shipped list below is regenerated from the same source, so it matches what a fresh instance sees:
| Provider | Model | Capabilities | Context | Input ($/M) | Output ($/M) |
|---|---|---|---|---|---|
| AI21 | Jamba Large 1.7 | chat | 256K | 2.00 | 8.00 |
| Amazon | Nova Premier | chat, vision | 1M | 2.50 | 12.50 |
| Amazon | Nova 2 Lite | chat, vision | 1M | 0.30 | 2.50 |
| Anthropic | Claude Fable (latest) | chat, vision | 1M | 10.00 | 50.00 |
| Anthropic | Claude Fable 5 | chat, vision | 1M | 10.00 | 50.00 |
| Anthropic | Claude Sonnet 4.6 | chat, vision | 1M | 3.00 | 15.00 |
| Anthropic | Claude Haiku 4.5 | chat | 200K | 1.00 | 5.00 |
| Anthropic | Claude Opus 4.8 | chat, vision | 1M | 5.00 | 25.00 |
| Black Forest Labs | FLUX.2 [flex] | image-generation, image-edit | — | — | — |
| Black Forest Labs | FLUX.2 [max] | image-generation, image-edit | — | — | — |
| Black Forest Labs | FLUX.2 [pro] | image-generation, image-edit | — | — | — |
| Cohere | Command A | chat | 256K | 2.50 | 10.00 |
| Cohere | Command R | chat | 128K | 0.15 | 0.60 |
| DeepSeek | DeepSeek V4 Pro | chat | 1M | 0.43 | 0.87 |
| DeepSeek | DeepSeek V4 Flash | chat | 1M | 0.09 | 0.18 |
| Gemini 3 Pro | chat, vision | 1M | 2.00 | 12.00 | |
| Gemini 3 Flash | chat, vision | 1M | 0.50 | 3.00 | |
| Gemma 4 31B IT | chat, vision | 262K | 0.12 | 0.35 | |
| Gemma 4 26B A4B IT | chat, vision | 262K | 0.06 | 0.33 | |
| Nano Banana (Gemini 2.5 Flash Image) | image-generation, image-edit | 33K | 0.30 | 2.50 | |
| Liquid | LFM2 24B | chat | 128K | 0.03 | 0.12 |
| Meta | LLaMA 4 Maverick | chat | 1M | 0.15 | 0.60 |
| Meta | LLaMA 4 Scout | chat | 10M | 0.10 | 0.30 |
| Microsoft | Phi-4 | chat | 16K | 0.07 | 0.14 |
| MiniMax | MiniMax M3 | chat, vision | 1M | 0.30 | 1.20 |
| Mistral | Mistral Large 3 | chat | 262K | 0.50 | 1.50 |
| Mistral | Mistral Medium 3.5 | chat, vision | 262K | 1.50 | 7.50 |
| Moonshot AI | Kimi K2.6 | chat, vision | 262K | 0.68 | 3.41 |
| Moonshot AI | Kimi K2.7 Code | chat, vision | 262K | 0.61 | 3.07 |
| NVIDIA | Nemotron 3 Ultra | chat | 1M | 0.50 | 2.20 |
| NVIDIA | Nemotron 3 Super | chat | 1M | 0.09 | 0.45 |
| OpenAI | GPT-OSS 120B | chat | 131K | 0.04 | 0.18 |
| OpenAI | GPT-4o mini TTS | text-to-speech | — | — | — |
| OpenAI | GPT-5.3 Chat | chat, vision | 128K | 1.75 | 14.00 |
| OpenAI | GPT-5.5 | chat, vision | 1M | 5.00 | 30.00 |
| OpenAI | GPT-5.5 Pro | chat, vision | 1M | 30.00 | 180.00 |
| OpenAI | Whisper v1 | transcription | — | — | — |
| Perplexity | Sonar Pro | chat, vision | 200K | 3.00 | 15.00 |
| Perplexity | Sonar | chat, vision | 127K | 1.00 | 1.00 |
| Qwen | Qwen3.6 Max Preview | chat | 262K | 1.04 | 6.24 |
| Qwen | Qwen3 Coder 480B | chat | 1M | 0.22 | 1.80 |
| Qwen | Qwen3 VL 32B | chat, vision | 262K | 0.10 | 0.42 |
| Qwen | Qwen3.6 Flash | chat, vision | 1M | 0.19 | 1.13 |
| Qwen | Qwen3 Embedding 8B | embedding | — | 0.01 | 0.00 |
| Qwen | Qwen3.7 Plus | chat, vision | 1M | 0.32 | 1.28 |
| Reka | Reka Flash 3 | chat | 66K | 0.10 | 0.20 |
| Xiaomi | MiMo V2.5 Pro | chat | 1M | 0.43 | 0.87 |
| Z.AI | GLM 5.1 | chat | 203K | 0.98 | 3.08 |
| Z.AI | GLM 5 Turbo | chat | 262K | 1.20 | 4.00 |
| Z.AI | GLM 5V Turbo | chat, vision | 131K | 1.20 | 4.00 |
| xAI | Grok 4.20 | chat, vision | 2M | 1.25 | 2.50 |
The full and live catalogue lives at openrouter.ai/models; any model OpenRouter exposes can be added to your instance from the same drawer.
Where this fits
Models are the layer beneath every agent, every chat reply, every voice output, and every image the platform renders. OpenRouter is the default, not a requirement — adding a direct vendor, a local Ollama or vLLM server, or a second gateway is admin work covered in Providers, and the file-based form of the same configuration lives under Configuration → providers. For picking between chat models when more than one could do the job, Arena Mode is the workflow built for exactly that question.