> ## Documentation Index > Fetch the complete documentation index at: https://docs.praxis-ai.com/llms.txt > Use this file to discover all available pages before exploring further. # Platform Models & Providers > The full Praxis AI platform model catalog — provider types (Bedrock, OpenAI, Anthropic, Google, xAI, and more), model identifiers, token limits, capabilities, and Thinking support. The full platform model catalog for the [AI & Models](/mdx/admin-guide/ai-models) guide. Every Digital Twin has access to the same providers and models listed here; which model is selected for each Model Use is configured per instance under [Personalization](/mdx/admin-guide/personalization). ## Platform Models Praxis AI middleware offers access to a broad catalog of state-of-the-art AI models. You can select the model that best fits your needs based on performance, cost, and capabilities. The `default` model is configured to use the latest, most capable model available on the platform. In most cases, you should keep `default` selected unless you have a specific requirement (for example, strict cost control, specific provider, or latency constraints). Models can be accessed using: * The [OpenAI Client](https://platform.openai.com/docs/libraries?language=javascript) * Or through [Amazon Bedrock](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/bedrock/) ### Provider-Based Models Praxis AI exposes conversation and related capabilities (vision, audio, embeddings, moderation, realtime) through multiple provider types: * **Amazon Bedrock** * **OpenAI-Compatible Clients** (OpenAI, Cohere) * **Anthropic Direct API** * **Google Gemini Native SDK** * **Mistral AI Native SDK** * **xAI Native API** * **Stability AI Native API** Each provider contains **groups** and individual models with specific capabilities and uses. Anthropic models via Bedrock are platform models of choice, mainly for Conversation and Image Analysis. Models marked with **Extended** support the optional 1M token context window (see [Inference Settings](/mdx/admin-guide/personalization#inference-settings)). > **Claude Fable 5 on Bedrock — data-sharing opt-in required.** Anthropic requires 30-day data retention for Fable/Mythos-class traffic on Bedrock. Your AWS account must set its Bedrock data-retention mode to `provider_data_sharing` (via the Bedrock Data Retention API — no console UI at launch) before `global.anthropic.claude-fable-5` can be invoked; otherwise requests fail with *"data retention mode 'default' is not available for this model."* If that data-sharing posture isn't acceptable for your deployment, use `claude-fable-5` on the Anthropic Direct API instead, which does not require the Bedrock opt-in. | Model Name | Status | Capabilities | Input (tokens) | Output (tokens) | Thinking | Typical Uses | | -------------------------------------------------- | ---------- | ------------------------ | -------------: | --------------: | -------------- | ------------------------------------- | | `global.anthropic.claude-fable-5` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `global.anthropic.claude-sonnet-5` | Default | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-sonnet-5` | Deprecated | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `global.anthropic.claude-sonnet-4-6` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-sonnet-4-6` | Deprecated | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `global.anthropic.claude-sonnet-4-5-20250929-v1:0` | Current | Tools, Streaming, Vision | 200,000 | 64,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-sonnet-4-5-20250929-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 64,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-sonnet-4-20250514-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 64,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-3-7-sonnet-20250219-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `us.anthropic.claude-3-5-sonnet-20241022-v2:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 8,192 | — | Conversation, Image Analysis | | `global.anthropic.claude-opus-5` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `global.anthropic.claude-opus-4-8` | Current | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-opus-4-8` | Deprecated | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `global.anthropic.claude-opus-4-7` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `us.anthropic.claude-opus-4-7` | Deprecated | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `global.anthropic.claude-opus-4-6` | Current | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `us.anthropic.claude-opus-4-6-v1` | Deprecated | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `global.anthropic.claude-opus-4-5-20251101-v1:0` | Current | Tools, Streaming, Vision | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `us.anthropic.claude-opus-4-5-20251101-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `us.anthropic.claude-opus-4-1-20250805-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 32,000 | Yes | Conversation, Image Analysis | | `us.anthropic.claude-opus-4-20250514-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 32,000 | Yes | Conversation, Image Analysis | | `global.anthropic.claude-haiku-4-5-20251001-v1:0` | Current | Tools, Streaming, Vision | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `us.anthropic.claude-haiku-4-5-20251001-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 64,000 | Yes | Conversation, Summary, Image Analysis | | `us.anthropic.claude-3-5-haiku-20241022-v1:0` | Deprecated | Tools, Streaming, Vision | 200,000 | 8,192 | — | Conversation, Image Analysis | Deprecated models will be removed in a future release. Migrate to a newer model. When a deprecated model is removed, any assistant or configuration referencing it will automatically fall back to the institution's default model. Amazon models hosted on Bedrock, used for Conversation, Image Analysis, Audio Transcription, Image Generation, and Embeddings. #### Conversation / Vision / Summary | Model Name | Status | Capabilities | Input (tokens) | Output (tokens) | Typical Uses | | ----------------------------------- | ------------- | ------------------------ | -------------: | --------------: | ----------------------------------------- | | `us.amazon.nova-2-lite-v1:0` | New | Tools, Streaming, Vision | 1,000,000 | 64,000 | Conversation, Image Analysis, Summary | | `us.amazon.nova-premier-v1:0` | Deprecated | Tools, Streaming, Vision | 1,000,000 | 10,000 | Conversation, Image Analysis, Summary | | `us.amazon.nova-pro-v1:0` | Current | Tools, Streaming, Vision | 300,000 | 5,000 | Conversation, Image Analysis, Summary | | `us.amazon.nova-lite-v1:0` | Deprecated | Tools, Streaming, Vision | 300,000 | 10,000 | Conversation, Image Analysis, Summary | | `us.amazon.nova-micro-v1:0` | Current | Tools, Streaming | 128,000 | 5,000 | Conversation, Summary | | `transcribe` | Current | Audio Analysis | — | — | Audio transcription / translation | | `amazon.nova-canvas-v1:0` | Deprecated | Vision | — | — | Image Generation | | `amazon.titan-image-generator-v2:0` | Deprecated | Vision | — | — | Image Generation | | `amazon.nova-reel-v1:1` | New — Default | Vision | — | — | Video Generation (text/image to 6s video) | For image generation, Nova Canvas can produce sizes up to 2048×2048 and Titan up to its supported size set (around 1536 on the longest side) when a larger or differently-shaped image is requested; otherwise both default to 1024×1024. Requests beyond a model's limit are automatically reduced to the closest supported size. #### Embeddings | Model Name | Status | Input (tokens) | Vector Dimensions | Typical Uses | | ------------------------------ | ---------- | -------------: | ----------------: | ------------ | | `amazon.titan-embed-text-v2:0` | Current | 8,192 | 1,024 | Embeddings | | `amazon.titan-embed-text-v1` | Deprecated | 8,192 | 1,536 | Embeddings | More information on Amazon Bedrock models: [https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html) Open-source GPT models exposed via Bedrock-compatible infrastructure (us-east-1). Cost-effective and well-suited to background classification/extraction work, so they are also offered for Knowledge Graph (KAG) analysis and summarization. | Model Name | Capabilities | Input (tokens) | Output (tokens) | Typical Uses | | ------------------------------- | ---------------------------------------------- | -------------: | --------------: | -------------------------- | | `openai.gpt-oss-120b-1:0` | Tools, Streaming, Structured Output | 128,000 | 16,000 | Conversation, KAG, Summary | | `openai.gpt-oss-20b-1:0` | Tools, Streaming, Structured Output, Reasoning | 128,000 | 16,000 | Conversation, KAG, Summary | | `openai.gpt-oss-safeguard-120b` | Structured Output | 128,000 | 16,000 | KAG, Summary | | `openai.gpt-oss-safeguard-20b` | Structured Output | 128,000 | 16,000 | KAG, Summary | More information: [https://platform.openai.com/docs/models/gpt-oss-120b](https://platform.openai.com/docs/models/gpt-oss-120b) Meta (Llama) models via Bedrock group, used for Summary and Image Analysis rather than Conversation. | Model Name | Notes | Capabilities | Input (tokens) | Typical Uses | | ------------------------------------------- | ----------------------------- | ------------------------ | -------------: | ----------------------- | | `us.meta.llama3-2-11b-instruct-v1:0` | No tools+streaming together | Streaming, Vision | 128,000 | Summary, Image Analysis | | `us.meta.llama4-maverick-17b-instruct-v1:0` | No tools+streaming together | Streaming, Vision | 1,000,000 | Summary, Image Analysis | | `us.meta.llama4-scout-17b-instruct-v1:0` | Tools and streaming supported | Tools, Streaming, Vision | 1,000,000 | Summary, Image Analysis | More information: [https://www.llama.com/docs/get-started/](https://www.llama.com/docs/get-started/) Cohere models via Bedrock, used for Conversation and Summary. | Model Name | Status | Capabilities | Input (tokens) | Output (tokens) | Typical Uses | | ---------------------------- | ---------- | ---------------- | -------------: | --------------: | --------------------- | | `cohere.command-r-plus-v1:0` | Deprecated | Tools, Streaming | 128,000 | 4,000 | Conversation, Summary | | `cohere.command-r-v1:0` | Current | Tools, Streaming | 128,000 | 4,000 | Conversation, Summary | More information: [https://docs.cohere.com/docs/models](https://docs.cohere.com/docs/models) Mistral models in the Bedrock provider, used for Conversation, Summary, and Image Analysis. | Model Name | Capabilities | Input (tokens) | Typical Uses | | --------------------------------------- | ------------------------ | -------------: | ------------------------------------- | | `mistral.devstral-2-123b` | Tools, Streaming | 128,000 | Conversation (Coding) | | `mistral.mistral-large-3-675b-instruct` | Tools, Streaming, Vision | 128,000 | Summary, Conversation, Image Analysis | | `mistral.magistral-small-2509` | Tools, Streaming | 128,000 | Conversation, Summary (Reasoning) | | `us.mistral.pixtral-large-2502-v1:0` | Tools, Streaming, Vision | 128,000 | Summary, Image Analysis | More information: [https://docs.mistral.ai/getting-started/models/models\_overview](https://docs.mistral.ai/getting-started/models/models_overview) Stability AI models are no longer available through Bedrock. They are now served via the Stability AI Native API — see the dedicated accordion below. These models are configured against the OpenAI API and used across Conversation, Image Analysis, Summary, Audio, TTS, Moderation, and Realtime. #### Conversation / Vision / Summary | Model Name | Status | Capabilities | Input (tokens) | Output (tokens) | Thinking | Typical Uses | | ----------------------- | ----------- | ----------------------------- | -------------: | --------------: | -------- | ------------------------------------- | | `gpt-5.4` | New | Tools, Streaming, Vision, MCP | 1,050,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5.4-pro` | New | Tools, Streaming, Vision, MCP | 1,050,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5.4-mini` | New | Tools, Streaming, Vision, MCP | 400,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5.4-nano` | New | Tools, Streaming, Vision, MCP | 400,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5.2` | Current | Tools, Streaming, Vision, MCP | 400,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5.1` | Current | Tools, Streaming, Vision, MCP | 400,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5-2025-08-07` | Deprecated | Tools, Streaming, Vision, MCP | 272,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5-mini` | Current | Tools, Streaming, Vision, MCP | 400,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5-nano-2025-08-07` | Current | Tools, Streaming, Vision, MCP | 400,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-5` | Deprecated | Tools, Streaming, Vision, MCP | 272,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `gpt-4.1` | Deprecated | Tools, Streaming, Vision, MCP | 1,047,576 | 32,768 | — | Conversation, Image Analysis, Summary | | `gpt-4.1-mini` | Deprecated | Tools, Streaming, Vision, MCP | 1,047,576 | 32,768 | — | Conversation, Image Analysis, Summary | | `gpt-4.1-nano` | Deprecated | Tools, Streaming, Vision, MCP | 1,047,576 | 32,768 | — | Conversation, Image Analysis, Summary | | `gpt-4o` | Deprecated | Tools, Streaming, Vision | 128,000 | 16,384 | — | Conversation, Image Analysis, Summary | | `gpt-4o-mini` | Deprecated | Tools, Streaming, Vision | 128,000 | 16,384 | — | Conversation, Image Analysis, Summary | | `o4-mini-deep-research` | Specialized | Streaming, Vision, MCP | 200,000 | 100,000 | Yes | Deep research, Image Analysis | | `o4-mini` | Current | Tools, Streaming, Vision, MCP | 200,000 | 100,000 | Yes | Conversation, Image Analysis | | `o3-deep-research` | Specialized | Streaming, Vision, MCP | 200,000 | 100,000 | Yes | Deep research, Image Analysis | | `o3-pro` | Deprecated | Tools, Streaming, Vision, MCP | 200,000 | 100,000 | Yes | Conversation, Image Analysis | | `o3` | Deprecated | Tools, Streaming, Vision, MCP | 200,000 | 100,000 | Yes | Conversation, Image Analysis | | `o3-mini` | Deprecated | Tools, Streaming, Vision | 200,000 | 100,000 | Yes | Conversation, Image Analysis | | `o1` | Deprecated | Tools, Streaming, Vision | 200,000 | 100,000 | Yes | Conversation, Image Analysis | #### Image Generation | Model Name | Status | Capabilities | Typical Uses | | ------------------ | ------- | ------------ | ---------------- | | `gpt-image-1.5` | New | Vision | Image Generation | | `gpt-image-1` | Current | Vision | Image Generation | | `gpt-image-1-mini` | Current | Vision | Image Generation | | `dall-e-3` | Current | Vision | Image Generation | When asked, Pria can produce these images in shapes beyond the default square — the `gpt-image` models support square (1024×1024), landscape (1536×1024) and portrait (1024×1536); `dall-e-3` supports square (1024×1024), landscape (1792×1024) and portrait (1024×1792). If a requested size isn't supported by the chosen model, Pria automatically uses the closest available size. #### Video Generation | Model Name | Status | Capabilities | Typical Uses | | ------------ | ------ | ------------- | ------------------------------------------------------------------ | | `sora-2` | New | Text to Video | Video Generation (4 / 8 / 12s) | | `sora-2-pro` | New | Text to Video | Video Generation (higher fidelity, selected when `quality='high'`) | #### Embeddings | Model Name | Input (tokens) | Vector Dimensions | Typical Uses | | ------------------------ | -------------: | ----------------: | ------------ | | `text-embedding-3-small` | 8,191 | 1,536 | Embeddings | | `text-embedding-3-large` | 8,191 | 3,072 | Embeddings | #### Audio Transcription and Translation | Model Name | Input (Hz) | Output (tokens) | Typical Uses | | --------------------------- | ---------: | --------------: | --------------------------- | | `whisper-1` | — | — | Audio Analysis | | `gpt-4o-mini-transcribe` | 16,000 | 2,000 | Audio Analysis (Default) | | `gpt-4o-transcribe` | 16,000 | 2,000 | Audio Analysis | | `gpt-4o-transcribe-diarize` | 16,000 | 2,000 | Audio Analysis (Speaker ID) | #### Text-to-Speech (TTS) | Model Name | Typical Uses | | ----------------- | ------------ | | `tts-1` | TTS | | `tts-1-hd` | TTS | | `gpt-4o-mini-tts` | TTS | #### Moderation | Model Name | Typical Uses | | ------------------------ | ------------ | | `omni-moderation-latest` | Moderation | #### Real-Time Speech-to-Speech (RT / STS) | Model Name | Status | Input Tokens | Output Tokens | Reasoning | Typical Uses | | ------------------------------ | ---------- | -----------: | ------------: | --------- | --------------------------------------------- | | `gpt-realtime-2` | Default | 128,000 | 32,000 | Yes | Realtime voice agent (reasoning, GPT-5-class) | | `gpt-realtime-1.5` | Current | 32,000 | 4,096 | — | Realtime voice agent | | `gpt-realtime` | Current | 32,000 | 4,096 | — | Realtime voice agent | | `gpt-realtime-mini` | Current | 32,000 | 4,096 | — | Realtime voice agent | | `gpt-4o-realtime-preview` | Deprecated | 32,000 | 4,096 | — | Realtime voice agent | | `gpt-4o-mini-realtime-preview` | Deprecated | 16,000 | 4,096 | — | Realtime voice agent | **OpenAI Voices:** Cedar (New), Marin (New), Alloy, Ash, Ballad, Coral, Echo, Sage, Shimmer, Verse More information: [https://platform.openai.com/docs/models](https://platform.openai.com/docs/models) ElevenLabs Conversational AI can be used as an alternative real-time speech-to-speech provider. When selected, Pria's Convo Mode connects to your configured ElevenLabs agent instead of OpenAI GPT-Realtime. | Model Name | Typical Uses | | ------------ | --------------------------------- | | `elevenlabs` | Realtime voice agent (Convo Mode) | Requires an ElevenLabs Agent ID and API Key configured in [Integrations](/mdx/admin-guide/configuration#elevenlabs). See [ElevenLabs Voice Agent](/mdx/integrations/elevenlabs/introduction) for setup instructions. Gemini models are accessed through the Google GenAI native SDK and are used for Conversation, Image Analysis, Summary, and Image Generation. Requires an API key. #### Conversation / Vision / Summary | Model Name | Label | Capabilities | Input (tokens) | Output (tokens) | Thinking | Typical Uses | | ------------------------ | ------------------ | ------------------------ | -------------: | --------------: | -------- | -------------------------------------------------------------------------- | | `gemini-3.6-flash` | Fast | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary, Video Analysis, Meeting + Web roles | | `gemini-3.5-flash` | Fast | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary, Video Analysis, Meeting + Web roles | | `gemini-3.1-pro-preview` | Advanced Reasoning | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | | `gemini-3.1-flash-lite` | Ultra Fast | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | | `gemini-3-flash-preview` | Default | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | | `gemini-3-pro-preview` | Deprecated | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | | `gemini-2.5-flash` | Fast | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | | `gemini-2.5-flash-lite` | Ultra Fast | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | | `gemini-2.5-pro` | Production | Tools, Streaming, Vision | 1,048,576 | 65,536 | Yes | Conversation, Image Analysis, Summary | #### Image Generation | Model Name | Label | Capabilities | Typical Uses | | -------------------------------- | ---------------- | ------------ | ---------------- | | `gemini-2.5-flash-image` | Native Image Gen | Vision | Image Generation | | `gemini-3.1-flash-image-preview` | Fast Image Gen | Vision | Image Generation | | `gemini-3-pro-image-preview` | HQ Image Gen | Vision | Image Generation | The flash image models generate at the standard 1024×1024. `gemini-3-pro-image-preview` can produce higher resolutions (up to 4K) and different aspect ratios when a larger or differently-shaped image is requested; otherwise it defaults to a standard square. #### Embeddings | Model Name | Input (tokens) | Vector Dimensions | Typical Uses | | ---------------------------- | -------------: | ----------------: | ----------------------- | | `gemini-embedding-2-preview` | 8,192 | 3,072 | Embeddings (multimodal) | | `gemini-embedding-001` | 2,048 | 3,072 | Embeddings | #### Text-to-Speech (TTS) | Model Name | Typical Uses | | ------------------------------ | ------------ | | `gemini-2.5-flash-preview-tts` | TTS | | `gemini-2.5-pro-preview-tts` | TTS | #### Real-Time Speech-to-Speech (Gemini Live) | Model Name | Status | Typical Uses | | ----------------------------------------------- | ----------- | -------------------- | | `gemini-3.1-flash-live-preview` | Default | Realtime voice agent | | `gemini-2.5-flash-native-audio-preview-12-2025` | Alternative | Realtime voice agent | **Gemini Voices:** Puck (Upbeat), Charon (Informative), Kore (Firm), Fenrir (Excitable), Aoede (Breezy), Zephyr (Bright), Leda (Youthful), Orus (Firm) [Preview Gemini voices on Google AI Studio](https://aistudio.google.com) More information: [https://ai.google.dev/gemini-api/docs/models](https://ai.google.dev/gemini-api/docs/models) Anthropic models via direct API, used for Conversation, Image Analysis, and Summary. Requires an API key. Models marked with **Extended** support the optional 1M token context window. | Model Name | Status | Capabilities | Input (tokens) | Output (tokens) | Thinking | Typical Uses | | ---------------------------- | ---------- | ------------------------ | -------------: | --------------: | -------------- | ------------------------------------- | | `claude-fable-5` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `claude-sonnet-5` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `claude-sonnet-4-6` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `claude-sonnet-4-5-20250929` | Current | Tools, Streaming, Vision | 200,000 | 64,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `claude-haiku-4-5-20251001` | Current | Tools, Streaming | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `claude-opus-5` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `claude-opus-4-8` | Current | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Adaptive) | Conversation, Image Analysis, Summary | | `claude-opus-4-7` | New | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes | Conversation, Image Analysis, Summary | | `claude-opus-4-6` | Current | Tools, Streaming, Vision | 1,000,000 | 128,000 | Yes (Extended) | Conversation, Image Analysis, Summary | | `claude-opus-4-5-20251101` | Current | Tools, Streaming | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `claude-opus-4-1-20250805` | Deprecated | Tools, Streaming, Vision | 200,000 | 32,000 | Yes | Conversation, Image Analysis, Summary | | `claude-sonnet-4-20250514` | Deprecated | Tools, Streaming, Vision | 200,000 | 64,000 | Yes | Conversation, Image Analysis, Summary | | `claude-opus-4-20250514` | Deprecated | Tools, Streaming, Vision | 200,000 | 32,000 | Yes | Conversation, Image Analysis, Summary | More information: [https://docs.anthropic.com/en/docs/about-claude/models/overview](https://docs.anthropic.com/en/docs/about-claude/models/overview) Cohere model via OpenAI-compatible endpoint, used for Conversation, Image Analysis, and Summary. Requires an API key. | Model Name | Capabilities | Input (tokens) | Output (tokens) | Typical Uses | | ------------------- | ------------------------ | -------------: | --------------: | ------------------------------------- | | `command-a-03-2025` | Tools, Streaming, Vision | 128,000 | 4,000 | Conversation, Image Analysis, Summary | More information: [https://docs.cohere.com/docs/models](https://docs.cohere.com/docs/models) Moonshot Kimi K3 served through RunPod's OpenAI-compatible endpoint, used for Conversation — including agentic multi-turn tool orchestration (native tool calling). Reasoning is always on (low/high/max effort; Pria maps lower settings up automatically). Requires a RunPod API key (platform-wide or per-instance). | Model Name | Capabilities | Input (tokens) | Output (tokens) | Thinking | Typical Uses | | ---------- | ---------------- | -------------: | --------------: | -------- | ------------ | | `kimi-k3` | Tools, Streaming | 1,000,000 | 16,384 | Yes | Conversation | More information: [https://runpod.io/kimi-k3](https://runpod.io/kimi-k3) Mistral AI models are accessed through the native Mistral SDK (`@mistralai/mistralai`) and are used for Conversation, Image Analysis, Summary, Audio, TTS, Embeddings, and Moderation. Requires an API key. #### Conversation / Vision / Summary | Model Name | Label | Capabilities | Input (tokens) | Output (tokens) | Typical Uses | | ----------------------- | ----------------- | ----------------------------------- | -------------: | --------------: | ------------------------------------- | | `mistral-large-latest` | Default | Tools, Streaming, Vision | 128,000 | 8,192 | Conversation, Image Analysis, Summary | | `mistral-large-2512` | Large 3 | Tools, Streaming, Vision | 256,000 | 8,192 | Summary (backend workers) | | `mistral-medium-2604` | Medium 3.5 | Tools, Streaming, Vision | 256,000 | 8,192 | Conversation, Image Analysis | | `mistral-medium-2508` | — | Tools, Streaming, Vision | 131,072 | 8,192 | Conversation, Image Analysis, Summary | | `mistral-small-2603` | Small 4 | Tools, Streaming, Vision, Reasoning | 256,000 | 8,192 | Conversation, Image Analysis, Summary | | `mistral-small-2506` | — | Tools, Streaming, Vision | 128,000 | 8,192 | Conversation, Image Analysis, Summary | | `pixtral-large-latest` | Vision | Tools, Streaming, Vision | 128,000 | 8,192 | Conversation, Image Analysis | | `magistral-medium-2509` | Reasoning | Tools, Streaming, Vision | 128,000 | 8,192 | Conversation, Image Analysis, Summary | | `magistral-small-2509` | Reasoning Fast | Tools, Streaming, Vision | 40,000 | 8,192 | Conversation, Image Analysis, Summary | | `codestral-2508` | Code | Tools, Streaming, Vision | 256,000 | 8,192 | Conversation, Summary | | `devstral-2512` | Devstral 2 Coding | Tools, Streaming | 256,000 | 8,192 | Conversation (agentic coding) | | `devstral-medium-2507` | Developer | Tools, Streaming, Vision | 128,000 | 8,192 | Conversation, Image Analysis, Summary | | `mistral-saba-latest` | Multilingual | Tools, Streaming | 32,000 | 8,192 | Conversation, Summary | #### Deprecated Conversation Models | Model Name | Capabilities | Input (tokens) | Typical Uses | | -------------------- | ------------------------ | -------------: | ---------------------------- | | `pixtral-large-2411` | Tools, Streaming, Vision | 128,000 | Conversation, Image Analysis | | `mistral-large-2411` | Tools, Streaming, Vision | 128,000 | Conversation, Summary | #### Audio Transcription (STT) | Model Name | Typical Uses | | --------------------- | ----------------------------- | | `voxtral-mini-2602` | Audio Analysis (Transcribe 2) | | `voxtral-mini-latest` | Audio Analysis (Default) | | `voxtral-mini-2507` | Audio Analysis | #### Text-to-Speech (TTS) | Model Name | Typical Uses | | ----------------------- | ------------ | | `voxtral-mini-tts-2603` | TTS | #### Embeddings | Model Name | Input (tokens) | Typical Uses | | ----------------- | -------------: | ------------ | | `mistral-embed` | 8,192 | Embeddings | | `codestral-embed` | 8,192 | Embeddings | #### Moderation | Model Name | Typical Uses | | ------------------------- | ------------------------- | | `mistral-moderation-2603` | Moderation (Moderation 2) | | `mistral-moderation-2411` | Moderation | More information: [https://docs.mistral.ai/getting-started/models/models\_overview](https://docs.mistral.ai/getting-started/models/models_overview) xAI models are accessed through xAI's native API and are used for Conversation, Image Analysis, Summary, Code, Image Generation, Embeddings, TTS, and Real-Time Voice. Requires an API key. #### Conversation / Vision / Summary | Model Name | Status | Capabilities | Input (tokens) | Thinking | Typical Uses | | ------------------------------ | ---------- | ------------------------ | -------------: | ---------------- | ------------------------------------------- | | `grok-4.5` | Current | Tools, Streaming, Vision | 500,000 | Yes (adjustable) | Conversation, Image Analysis, Summary | | `grok-4.20-0309-reasoning` | Current | Tools, Streaming, Vision | 2,000,000 | Yes | Conversation, Image Analysis, Summary | | `grok-4.20-0309-non-reasoning` | Current | Tools, Streaming, Vision | 2,000,000 | — | Conversation, Image Analysis, Summary | | `grok-4.20-multi-agent-0309` | Current | Tools, Streaming, Vision | 2,000,000 | Yes | Conversation, Image Analysis, Summary | | `grok-4-1-fast-reasoning` | Current | Tools, Streaming, Vision | 2,000,000 | Yes | Conversation, Image Analysis, Summary | | `grok-4-1-fast-non-reasoning` | Current | Tools, Streaming, Vision | 2,000,000 | — | Conversation, Image Analysis, Summary | | `grok-4` | Deprecated | Tools, Streaming, Vision | 2,000,000 | — | Deprecated (alias) | | `grok-build-0.1` | Current | Tools, Streaming, Vision | 256,000 | Yes | Agentic coding Conversation, Image Analysis | | `grok-code-fast-1` | Current | Tools, Streaming | 256,000 | — | Code-focused Conversation | #### Image Generation | Model Name | Status | Capabilities | Typical Uses | | ------------------------ | ------- | ------------ | ---------------- | | `grok-imagine-image-pro` | Current | Vision | Image Generation | | `grok-imagine-image` | Current | Vision | Image Generation | These models are shaped by aspect ratio rather than exact pixel size — Pria can request a square, landscape, or portrait shape (e.g. 1:1, 16:9, 9:16, 3:2) and defaults to a square. An unsupported shape is mapped to the closest available aspect. #### Embeddings | Model Name | Input (tokens) | Vector Dimensions | Typical Uses | | ---------------------- | -------------: | ----------------: | ------------ | | `grok-embedding-small` | 8,000 | 1,024 | Embeddings | #### Text-to-Speech (TTS) | Model Name | Typical Uses | | ---------- | ------------ | | `xai-tts` | TTS | **xAI Voices:** Eve, Ara, Rex, Sal, Leo #### Real-Time Speech-to-Speech (xAI Voice Agent) | Model Name | Status | Typical Uses | | ------------- | ------- | -------------------- | | `grok-3-fast` | Default | Realtime voice agent | **xAI RT Voices:** Eve (Default), Ara, Rex, Sal, Leo Audio transcription (STT) for xAI delegates to the configured OpenAI transcription model (e.g., `gpt-4o-mini-transcribe`). More information: [https://docs.x.ai/docs/models](https://docs.x.ai/docs/models) Stability AI models are accessed through Stability's v2beta REST API and are dedicated to media generation: Image, Audio, and Video. Requires an API key (`STABILITY_API_KEY`). #### Image Generation | Model Name | Label | Capabilities | Typical Uses | | ------------------------------ | ------------------ | ------------ | ---------------- | | `stability.stable-image-ultra` | Stable Image Ultra | Vision | Image Generation | | `stability.stable-image-core` | Stable Image Core | Vision | Image Generation | | `stability.sd3.5-large` | SD 3.5 Large | Vision | Image Generation | These models are shaped by aspect ratio rather than exact pixel size — Pria can request shapes such as 1:1, 16:9, 9:16, 21:9, 3:2, or 4:5 and defaults to a square. An unsupported shape is mapped to the closest available aspect. #### Audio Generation | Model Name | Label | Typical Uses | | -------------------------- | ------------------------------------------ | ---------------- | | `stability.stable-audio-2` | Stable Audio 2 (text to audio, up to 190s) | Audio Generation | #### Video Generation | Model Name | Label | Status | Typical Uses | | -------------------------- | --------------------------------------------------------- | ---------- | ---------------- | | `stability.image-to-video` | Stable Video (DEPRECATED — provider shut down 2025-07-24) | Deprecated | Video Generation | Stability AI retired its video generation API on **2025-07-24**. The model is kept in the dropdown for backward compatibility but calls return a deprecation message. Select **Amazon Nova Reel** (Bedrock, default) or **Sora 2** (OpenAI) for video generation. Stability AI remains a dedicated media-generation provider for Image and Audio — it does not expose Conversation, Embeddings, STT, or RT Voice. Conversation models from OpenAI, Anthropic, Gemini, Mistral, xAI, or Bedrock can invoke `generate_image` and `generate_audio` tools that route to Stability, and `generate_video` routes to Nova Reel or Sora 2 depending on `videoGenerationModel`. More information: [https://platform.stability.ai/docs/api-reference](https://platform.stability.ai/docs/api-reference) ## Related * [AI & Models](/mdx/admin-guide/ai-models) — model uses, selection, reasoning effort, moderation, and BYOM * [Personalization](/mdx/admin-guide/personalization) — where each Digital Twin selects its per-capability models