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Standard","region":"westus3"},{"deployment_type":"GlobalStandard","region":"australiaeast"},{"deployment_type":"GlobalStandard","region":"brazilsouth"},{"deployment_type":"GlobalStandard","region":"canadacentral"},{"deployment_type":"GlobalStandard","region":"canadaeast"},{"deployment_type":"GlobalStandard","region":"centralus"},{"deployment_type":"GlobalStandard","region":"eastus"},{"deployment_type":"GlobalStandard","region":"eastus2"},{"deployment_type":"GlobalStandard","region":"francecentral"},{"deployment_type":"GlobalStandard","region":"germanywestcentral"},{"deployment_type":"GlobalStandard","region":"italynorth"},{"deployment_type":"GlobalStandard","region":"japaneast"},{"deployment_type":"GlobalStandard","region":"koreacentral"},{"deployment_type":"GlobalStandard","region":"northcentralus"},{"deployment_type":"GlobalStandard","region":"norwayeast"},{"deployment_type":"GlobalStandard","region":"polandcentral"},{"deployment_type":"GlobalStandard","region":"southafricanorth"},{"deployment_type":"GlobalStandard","region":"southcentralus"},{"deployment_type":"GlobalStandard","region":"southeastasia"},{"deployment_type":"GlobalStandard","region":"southindia"},{"deployment_type":"GlobalStandard","region":"spaincentral"},{"deployment_type":"GlobalStandard","region":"swedencentral"},{"deployment_type":"GlobalStandard","region":"switzerlandnorth"},{"deployment_type":"GlobalStandard","region":"switzerlandwest"},{"deployment_type":"GlobalStandard","region":"uaenorth"},{"deployment_type":"GlobalStandard","region":"uksouth"},{"deployment_type":"GlobalStandard","region":"westeurope"},{"deployment_type":"GlobalStandard","region":"westus"},{"deployment_type":"GlobalStandard","region":"westus3"},{"deployment_type":"Standard/Regional","region":"australiaeast"},{"deployment_type":"Standard/Regional","region":"brazilsouth"},{"deployment_type":"Standard/Regional","region":"canadaeast"},{"deployment_type":"Standard/Regional","region":"eastus"},{"deployment_type":"Standard/Regional","region":"eastus2"},{"deployment_type":"Standard/Regional","region":"francecentral"},{"deployment_type":"Standard/Regional","region":"japaneast"},{"deployment_type":"Standard/Regional","region":"northcentralus"},{"deployment_type":"Standard/Regional","region":"norwayeast"},{"deployment_type":"Standard/Regional","region":"southafricanorth"},{"deployment_type":"Standard/Regional","region":"southcentralus"},{"deployment_type":"Standard/Regional","region":"southindia"},{"deployment_type":"Standard/Regional","region":"swedencentral"},{"deployment_type":"Standard/Regional","region":"switzerlandnorth"},{"deployment_type":"Standard/Regional","region":"uaenorth"},{"deployment_type":"Standard/Regional","region":"uksouth"},{"deployment_type":"Standard/Regional","region":"westeurope"},{"deployment_type":"Standard/Regional","region":"westus"},{"deployment_type":"Standard/Regional","region":"westus3"},{"deployment_type":"Standard","region":"australiaeast"},{"deployment_type":"Standard","region":"brazilsouth"},{"deployment_type":"Standard","region":"canadaeast"},{"deployment_type":"Standard","region":"eastus"},{"deployment_type":"Standard","region":"eastus2"},{"deployment_type":"Standard","region":"francecentral"},{"deployment_type":"Standard","region":"japaneast"},{"deployment_type":"Standard","region":"northcentralus"},{"deployment_type":"Standard","region":"norwayeast"},{"deployment_type":"Standard","region":"southafricanorth"},{"deployment_type":"Standard","region":"southcentralus"},{"deployment_type":"Standard","region":"southindia"},{"deployment_type":"Standard","region":"swedencentral"},{"deployment_type":"Standard","region":"switzerlandnorth"},{"deployment_type":"Standard","region":"uaenorth"},{"deployment_type":"Standard","region":"uksouth"},{"deployment_type":"Standard","region":"westeurope"},{"deployment_type":"Standard","region":"westus"},{"deployment_type":"Standard","region":"westus3"}],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"description":"# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\ntext-embedding-ada-002 outperforms all the earlier embedding models on text search, code search, and sentence similarity tasks and gets comparable performance on text classification.\n\n## Key model capabilities\n\n- Text search\n- Code search  \n- Sentence similarity tasks\n- Text classification\n\nNote: this model can be deployed for inference, specifically for embeddings, but cannot be finetuned.\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nThe provider has not supplied this information.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nThe provider has not supplied this information.\n\n## Output formats  \n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation \n\nThe provider has not supplied this information.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n","id_kind":"api_id","limits":{"embedding_dimensions":[1536]},"modalities":{"input":["text"],"output":["embedding"]},"name":"text-embedding-ada-002","release_stage":"stable","replacement_model_ids":[],"retired_at":"2028-02-09","scope":"regional_catalog","service_families":["Azure OpenAI"],"status":"active","tasks":["embeddings"],"uid":"azure/text-embedding-ada-002@2","version":"2"}]},{"model_id":"TimeGEN-1","variants":[{"aliases":[],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"id_kind":"api_id","limits":{},"modalities":{"input":["text"],"output":["text"]},"name":"TimeGEN-1","release_stage":"unknown","replacement_model_ids":["TimeGPT-1","TimegGPT-2.1"],"retired_at":"2026-08-31","scope":"regional_catalog","service_families":["Foundry Models from partners and community"],"status":"retired","tasks":["text_generation"],"uid":"azure/TimeGEN-1@1","version":"1"}]},{"model_id":"tsuzumi-7b","variants":[{"aliases":[],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":false},"id_kind":"api_id","limits":{"max_input_tokens":8192,"max_output_tokens":8192},"modalities":{"input":["text"],"output":["text"]},"name":"tsuzumi-7b","release_stage":"unknown","replacement_model_ids":[],"scope":"regional_catalog","service_families":["Foundry Models from partners and community"],"status":"active","tasks":["text_generation"],"uid":"azure/tsuzumi-7b"},{"aliases":[],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"id_kind":"api_id","limits":{},"modalities":{"input":["text"],"output":["text"]},"name":"tsuzumi-7b","release_stage":"unknown","replacement_model_ids":["tsuzumi2"],"retired_at":"2026-08-31","scope":"regional_catalog","service_families":["Foundry Models from partners and community"],"status":"retired","tasks":["text_generation"],"uid":"azure/tsuzumi-7b@2","version":"2"}]},{"model_id":"tts-hd","variants":[{"aliases":[],"api_endpoints":[{"name":"createSpeech","path":"openai/v1/audio/speech"}],"availability":[{"deployment_type":"Standard/Regional","region":"northcentralus"},{"deployment_type":"Standard/Regional","region":"swedencentral"},{"deployment_type":"Standard/Regional","region":"westus3"},{"deployment_type":"Standard","region":"australiaeast"},{"deployment_type":"Standard","region":"brazilsouth"},{"deployment_type":"Standard","region":"canadacentral"},{"deployment_type":"Standard","region":"canadaeast"},{"deployment_type":"Standard","region":"centralus"},{"deployment_type":"Standard","region":"eastus"},{"deployment_type":"Standard","region":"eastus2"},{"deployment_type":"Standard","region":"francecentral"},{"deployment_type":"Standard","region":"germanywestcentral"},{"deployment_type":"Standard","region":"italynorth"},{"deployment_type":"Standard","region":"japaneast"},{"deployment_type":"Standard","region":"japanwest"},{"deployment_type":"Standard","region":"koreacentral"},{"deployment_type":"Standard","region":"northcentralus"},{"deployment_type":"Standard","region":"norwayeast"},{"deployment_type":"Standard","region":"polandcentral"},{"deployment_type":"Standard","region":"southafricanorth"},{"deployment_type":"Standard","region":"southcentralus"},{"deployment_type":"Standard","region":"southindia"},{"deployment_type":"Standard","region":"spaincentral"},{"deployment_type":"Standard","region":"swedencentral"},{"deployment_type":"Standard","region":"switzerlandnorth"},{"deployment_type":"Standard","region":"switzerlandwest"},{"deployment_type":"Standard","region":"uaenorth"},{"deployment_type":"Standard","region":"uksouth"},{"deployment_type":"Standard","region":"westcentralus"},{"deployment_type":"Standard","region":"westeurope"},{"deployment_type":"Standard","region":"westus"},{"deployment_type":"Standard","region":"westus3"}],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"description":"# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\nTTS-HD is a model that converts text to natural sounding speech.\n\n## Key model capabilities\n\n- TTS: optimized for speed.\n- TTS-HD: optimized for quality.\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nTTS is optimized for realtime or interactive scenarios. For offline scenarios, TTS-HD provides higher quality.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nMax request data size: 4,096 chars can be converted from text to speech per API request.\n\n## Output formats\n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation\n\nThe provider has not supplied this information.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n","id_kind":"api_id","limits":{},"modalities":{"input":["text"],"output":["audio"]},"name":"tts-hd","release_stage":"stable","replacement_model_ids":[],"retired_at":"2026-12-15","scope":"regional_catalog","service_families":["Azure OpenAI"],"status":"active","tasks":["speech_synthesis"],"uid":"azure/tts-hd@001","version":"001"}]},{"model_id":"tts","variants":[{"aliases":[],"api_endpoints":[{"name":"createSpeech","path":"openai/v1/audio/speech"}],"availability":[{"deployment_type":"Standard/Regional","region":"northcentralus"},{"deployment_type":"Standard/Regional","region":"swedencentral"},{"deployment_type":"Standard/Regional","region":"westus3"},{"deployment_type":"Standard","region":"australiaeast"},{"deployment_type":"Standard","region":"brazilsouth"},{"deployment_type":"Standard","region":"canadacentral"},{"deployment_type":"Standard","region":"canadaeast"},{"deployment_type":"Standard","region":"centralus"},{"deployment_type":"Standard","region":"eastus"},{"deployment_type":"Standard","region":"eastus2"},{"deployment_type":"Standard","region":"francecentral"},{"deployment_type":"Standard","region":"germanywestcentral"},{"deployment_type":"Standard","region":"italynorth"},{"deployment_type":"Standard","region":"japaneast"},{"deployment_type":"Standard","region":"japanwest"},{"deployment_type":"Standard","region":"koreacentral"},{"deployment_type":"Standard","region":"northcentralus"},{"deployment_type":"Standard","region":"norwayeast"},{"deployment_type":"Standard","region":"polandcentral"},{"deployment_type":"Standard","region":"southafricanorth"},{"deployment_type":"Standard","region":"southcentralus"},{"deployment_type":"Standard","region":"southindia"},{"deployment_type":"Standard","region":"spaincentral"},{"deployment_type":"Standard","region":"swedencentral"},{"deployment_type":"Standard","region":"switzerlandnorth"},{"deployment_type":"Standard","region":"switzerlandwest"},{"deployment_type":"Standard","region":"uaenorth"},{"deployment_type":"Standard","region":"uksouth"},{"deployment_type":"Standard","region":"westcentralus"},{"deployment_type":"Standard","region":"westeurope"},{"deployment_type":"Standard","region":"westus"},{"deployment_type":"Standard","region":"westus3"}],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"description":"# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\nTTS is a model that converts text to natural sounding speech. TTS is optimized for realtime or interactive scenarios. For offline scenarios, TTS-HD provides higher quality. The API supports six different voices.\n\n## Key model capabilities\n\n- TTS: optimized for speed.\n- TTS-HD: optimized for quality.\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nThe provider has not supplied this information.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nMax request data size: 4,096 chars can be converted from text to speech per API request.\n\n## Output formats  \n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation \n\nThe provider has not supplied this information.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n","id_kind":"api_id","limits":{},"modalities":{"input":["text"],"output":["audio"]},"name":"tts","release_stage":"preview","replacement_model_ids":[],"retired_at":"2026-12-15","scope":"regional_catalog","service_families":["Azure OpenAI"],"status":"active","tasks":["speech_synthesis"],"uid":"azure/tts@001","version":"001"}]},{"model_id":"whisper","variants":[{"aliases":[],"api_endpoints":[{"name":"createTranscription","path":"openai/v1/audio/transcriptions"},{"name":"createTranslation","path":"openai/v1/audio/translations"}],"availability":[{"deployment_type":"Standard/Regional","region":"eastus2"},{"deployment_type":"Standard/Regional","region":"northcentralus"},{"deployment_type":"Standard/Regional","region":"norwayeast"},{"deployment_type":"Standard/Regional","region":"southindia"},{"deployment_type":"Standard/Regional","region":"swedencentral"},{"deployment_type":"Standard/Regional","region":"switzerlandnorth"},{"deployment_type":"Standard/Regional","region":"uaenorth"},{"deployment_type":"Standard/Regional","region":"westeurope"},{"deployment_type":"Standard","region":"eastus2"},{"deployment_type":"Standard","region":"northcentralus"},{"deployment_type":"Standard","region":"norwayeast"},{"deployment_type":"Standard","region":"southindia"},{"deployment_type":"Standard","region":"swedencentral"},{"deployment_type":"Standard","region":"switzerlandnorth"},{"deployment_type":"Standard","region":"uaenorth"},{"deployment_type":"Standard","region":"westeurope"}],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"description":"# Direct from Azure models\n Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:\n\n- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.\n- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.\n- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.\n- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.\n\nLearn more about [Direct from Azure models](https://aka.ms/DirectfromAzure).\n\n# Key capabilities\n\n## About this model\n\nThe Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (automatic speech recognition) as well as translated into English (speech translation).\n\n## Key model capabilities\n\n- Speech recognition (automatic speech recognition)\n- Speech translation into English\n- Processing of audio up to 25mb per API request\n\n# Use cases\nSee Responsible AI for additional considerations for responsible use.\n\n## Key use cases\n\nThe provider has not supplied this information.\n\n## Out of scope use cases\n\nThe provider has not supplied this information.\n\n# Pricing\nPricing is based on a number of factors, including deployment type and tokens used. [See pricing details here.](https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/microsoft/?msockid=1775f99b2f8e614e1ba1eb792e496067)\n\n# Technical specs\n\nThe provider has not supplied this information.\n\n## Training cut-off date\n\nThe provider has not supplied this information.\n\n## Training time\n\nThe provider has not supplied this information.\n\n## Input formats\n\nMax request data size: 25mb of audio can be converted from speech to text per API request.\n\n## Output formats  \n\nThe provider has not supplied this information.\n\n## Supported languages\n\nThe provider has not supplied this information.\n\n## Sample JSON response\n\nThe provider has not supplied this information.\n\n## Model architecture\n\nThe provider has not supplied this information.\n\n## Long context\n\nThe provider has not supplied this information.\n\n## Optimizing model performance\n\nThe provider has not supplied this information.\n\n## Additional assets\n\nThe provider has not supplied this information.\n\n# Training disclosure\n\n## Training, testing and validation \n\nResearchers at OpenAI developed the models to study the robustness of speech processing systems trained under large-scale weak supervision.\n\n# Distribution\n\n## Distribution channels\n\nThe provider has not supplied this information.\n\n# More information\n\nThe provider has not supplied this information.\n","id_kind":"api_id","limits":{},"modalities":{"input":["audio"],"output":["text"]},"name":"whisper","release_stage":"stable","replacement_model_ids":[],"retired_at":"2026-12-15","scope":"regional_catalog","service_families":["Azure OpenAI"],"status":"active","tasks":["transcription","translation"],"uid":"azure/whisper@001","version":"001"}]}],"name":"Microsoft Foundry"},"cerebras":{"catalog_scope":"global","catalog_version":"74a658654b4aebf8b6445e5dd742dee7e6d29b6e3aefcb0328cce6ddae454193","coverage":{"checked_at":"2026-09-02T08:05:46.259Z","last_successful_sync_at":"2026-08-17T17:06:28.556Z","model_count":15,"pricing_term_count":7,"reason":"API endpoint count dropped by more than 20%","status":"stale"},"docs_url":"https://inference-docs.cerebras.ai/","homepage":"https://www.cerebras.ai/inference","kind":"hosted","models":[{"model_id":"deepseek-r1-distill-llama-70b","variants":[{"aliases":[],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":"unknown","fine_tuning":"unknown","prompt_cache":"unknown","reasoning":"unknown","streaming":"unknown","structured_output":"unknown","tool_call":"unknown"},"deprecated_at":"2025-08-12","id_kind":"api_id","limits":{},"modalities":{"input":["text"],"output":["text"]},"name":"deepseek-r1-distill-llama-70b","release_stage":"unknown","replacement_model_ids":["qwen-3-32b"],"scope":"global_catalog","status":"deprecated","tasks":["text_generation"],"uid":"cerebras/deepseek-r1-distill-llama-70b"}]},{"model_id":"gemma-4-31b","variants":[{"aliases":[],"api_endpoints":[{"name":"Chat Completions","path":"v1/chat/completions"},{"name":"Completions","path":"v1/completions"}],"capabilities":{"batch":"unknown","citations":"unknown","code_execution":"unknown","computer_use":"unknown","context_management":"unknown","effort_control":true,"fine_tuning":"unknown","prompt_cache":true,"reasoning":true,"streaming":true,"structured_output":true,"tool_call":true},"delivery_modes":["streaming"],"description":"This model excels at multimodal reasoning across screenshots, documents, diagrams, and design assets. 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