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Interfaze 1
Interfaze 1 is a multimodal AI model for OCR, audio understanding, structured extraction, visual grounding, web tasks, reasoning, and deterministic workflow automation.
About Interfaze 1
Interfaze 1 is a multimodal AI model designed for deterministic tasks that require structured, repeatable outputs. Its hybrid Mixture of Architecture design combines specialized deep neural networks and convolutional neural networks with a transformer layer, allowing task specific components to handle perception while the transformer reasons over their outputs.
The model supports text, images, audio, files, and video as inputs. Documented capabilities include OCR and document understanding, object detection, GUI detection, speech to text, speaker diarization, translation, time series forecasting, web search, web scraping, code sandboxing, structured data extraction, and configurable safety guardrails.
Interfaze 1 provides a 1 million token context window and supports up to 32,000 output tokens. Reasoning is available and can be enabled when required. The architecture preserves specialist metadata such as bounding boxes, confidence scores, and timestamps as precontext, allowing applications to use model generated answers together with verifiable task specific information.
The model can be accessed through the Interfaze Chat Completion API and official TypeScript and Python SDKs. It also supports integrations with OpenAI compatible SDKs, Vercel AI SDK, LangChain, MCP, and n8n.
Key Features
- Multimodal Input: Supports text, images, audio, files, and video in a single model interface.
- 1 Million Token Context: Provides a documented context window of up to 1 million tokens with a maximum output of 32,000 tokens.
- Deterministic Task Architecture: Uses a hybrid Mixture of Architecture combining specialized DNN and CNN components with a transformer layer.
- Structured Outputs: Supports schema controlled structured responses for extraction and workflow applications.
- Built In Task Capabilities: Supports OCR, object detection, GUI detection, speech recognition, translation, web search, web scraping, and code sandboxing.
- Reasoning and Tool Use: Provides optional reasoning, function calling, built in tools, and task specific execution through the Chat Completion API.
Pricing
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Input Tokens: $1.50 per 1 million tokens Token based pricing for model input.
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Output Tokens: $3.50 per 1 million tokens Token based pricing for generated output.
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Infrastructure: Included Sandbox, browser engine, and related infrastructure usage are included.
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Caching: Included Caching is included with standard usage.
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Enterprise and Custom: Contact sales Volume discounts, unlimited rate limiting, SLAs, self hosted or VPC deployment, compliance agreements, priority support, and custom development are available.
Use Cases
- OCR and structured document data extraction
- Speech transcription and speaker diarization
- Visual grounding, object detection, and GUI understanding
- Web research, structured extraction, and automated workflows
Pros & Cons
Pros:
- Supports text, images, audio, files, and video through one multimodal interface.
- Provides a 1 million token context window and up to 32,000 output tokens.
- Returns task specific metadata such as confidence scores, bounding boxes, and timestamps for supported specialist operations.
Cons:
- Standard API access is limited to 50 requests per second unless a higher limit is arranged.
- Observability and logging are documented as coming soon.
Integrations
Interfaze SDK, OpenAI SDK, Vercel AI SDK, LangChain SDK, MCP Server, n8n
FAQ
What input modalities does Interfaze 1 support?
Interfaze 1 supports text, images, audio, files, and video as input modalities.
What is the context window of Interfaze 1?
Interfaze 1 provides a context window of up to 1 million tokens and supports a maximum output of 32,000 tokens.
Does Interfaze 1 support structured outputs and function calling?
Yes. Interfaze 1 supports structured outputs, function calling, reasoning, streaming, and task specific execution through its Chat Completion API.
Last edited
October 6, 2026 at 6:48 AM by Venkatraman Chandrasekaran
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