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Interfaze - The LLM for developer tasks

Interfaze is an LLM built by merging specialized models for any developer tasks like scraping, OCR, classification, extraction, STT, coding, etc. Run complex tasks that require consistency, accuracy and reliability especially on backend tasks.

                                                                                                                                                                                                                                         
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  • OpenAI chat completion API compatible
  • OCR, web scraping, STT, classification, internet access and more
  • High accuracy structured output consistency
  • Built-in code execution and sandboxing
  • Custom web engine for scraping and web research capabilities
  • Auto reasoning when needed
  • Controllable guardrails
  • Fully managed and scalable
  • Globally distributed fallback system with high uptime

Beta launch video

Beta launch video

Model Comparison

See how Interfaze compares to other leading AI models across various benchmarks.

Benchmark

interfaze-beta

GPT-4.1

Claude Sonnet 4

Gemini 2.5 Flash

Claude Sonnet 4 (Thinking)

Claude Opus 4 (Thinking)

GPT-5-Minimal

Gemini-2.5-Pro

MMLU-Pro83.680.683.780.983.78680.686.2
MMLU91.3890.2--88.889-89.2
MMMU77.3374.8-79.774.476.5-82
AIME-20259034.73860.374.373.331.787.7
GPQA-Diamond81.3166.368.368.377.779.667.384.4
LiveCodeBench57.7745.744.949.565.563.655.875.9
ChartQA90.88-------
AI2D91.5185.9-----89.5
Common-Voice-v1690.8-------

*Results for Non-Interfaze models are sourced from model providers, leaderboards, and evaluation providers such as Artificial Analysis.

Works like any other LLM

OpenAI API compatible - just swap the base URL.

OpenAI SDK

Vercel AI SDK

Langchain SDK

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Extraction

...
Extraction

Smart Web Scraping

...
Extraction

Code Execution

Isolated runtime for running AI-generated code at blazing speeds

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Configurable guardrails and NSFW checks

Fully configurable guardrails for text and images

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Extraction

High availability

Built-in fallback and retry system ensures high availability

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Other abilities

  • Speech-to-text and diarization
  • Time series forecasting and financial data analysis

view docs ->

Architecture

This architecture combines a suite of small specialized models supported with custom tools and infrastructure while automatically routing to the best model for the task that prioritizes accuracy and speed.

How it works

Specs

Context window

1m tokens

Max output tokens

32k tokens

Input modalities

Text, Images, Audio, File, Video

Reasoning

Available

Pricing

Input tokens

$3 / MTok

Output tokens

$15 / MTok

Caching

Included

Observability & Logging

Included

FAQ

Todo (Prioritized)

  • Full streaming support
  • Reduce transactional token count
  • Pre-built prompts/schemas optimized for specific tasks
  • Built-in observability and logging on the dashboard
  • Complete metrics and analytics
  • Caching layer
  • Reduce latency and improve throughput
  • Custom SDKs for interfaze with AI SDK, Langchain, etc.
  • Vector Memory layer
  • Leaderboard for projects

If you have feature requests or recommendations, please reach out!

Who are we?

We are a small team of ML, Software and Infrastructure engineers focused on building small, specialized, efficient models at JigsawStack. Our only goal is to make SOTA AI accessible in every developers workflow.

© 2025 Interfaze

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