Tev1

Tev1

Together AI
+
+

Related Products

  • Virtuoso QA
    131 Ratings
    Visit Website
  • Aikido Security
    364 Ratings
    Visit Website
  • kama.ai
    9 Ratings
    Visit Website
  • Sendbird
    166 Ratings
    Visit Website
  • Maintainly
    73 Ratings
    Visit Website
  • Filecamp
    178 Ratings
    Visit Website
  • Haast
    5 Ratings
    Visit Website
  • HR Partner
    205 Ratings
    Visit Website
  • Ethena
    131 Ratings
    Visit Website
  • Checksum.ai
    2 Ratings
    Visit Website

About

Open Code Review is an AI-powered code review CLI built from Alibaba’s battle-tested internal code review agent and validated across millions of real-world tasks. It reads Git diffs, sends changed files to a configurable LLM through an agent with tool-use capabilities, and generates structured review comments with precise line-level positioning. Rather than reviewing only the visible diff, the agent can read complete files, search the codebase, inspect related changes, and cross-reference context to uncover deeper issues. Its hybrid architecture separates deterministic engineering tasks such as file filtering, task splitting, rule routing, scheduling, and line positioning from LLM reasoning for risk detection, context exploration, and issue classification. A dedicated reflection module helps intercept hallucinations and knowledge drift before comments are returned. Review depth can be adjusted from low to high depending on the required balance of speed and thoroughness.

About

Tev1 is a fast decision and classification model built by Together AI and fine-tuned from Qwen3.5 4B. It is designed around a simple interface: provide a piece of state, a question, and 2 to 24 labeled options, and the model returns exactly one letter that software can map back to a semantic key. This structure supports production tasks such as routing support tickets, evaluating automated returns, applying policy rules, rating sentiment, categorizing documents, and inserting deterministic decision points into larger agent pipelines. The model has 4.7B parameters, a 32.8K-token context window, and runs with non-thinking generation for fast, predictable classification. It was trained on 37,840 examples spanning intent detection, boolean comprehension, sentiment, policy application, routing, news categories, and research-paper taxonomy. Recommended settings use temperature 0 and a very small output budget so responses remain stable and easy to parse.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers, platform teams, and ML researchers seeking to automate deep, context-aware code review with configurable AI models and precise, actionable feedback

Audience

Developers and AI engineering teams seeking to route, classify, score, and apply policy decisions through fast, deterministic structured outputs

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.04 per 1M tokens
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Alibaba
Founded: 1999
China
open-codereview.ai/

Company Information

Together AI
Founded: 2022
United States
www.together.ai/models/tev1-4b-experimental

Alternatives

Alternatives

Clef-flash

Clef-flash

Cloudflare
Bugbot

Bugbot

Cursor
Clef

Clef

Cloudflare
Jev

Jev

TypeSafe AI
cubic

cubic

cubic.dev

Categories

AI Code Review Supported

Categories

AI Decision Models Supported

Integrations

Python Supported
TypeScript Supported
Alibaba Cloud Supported
Anthropic Supported
C Supported
C++ Supported
DeepSeek Supported
Git Supported
Go Supported
Java Supported
Kotlin Supported
Model Context Protocol (MCP) Supported
OpenAI Supported
Qwen3.5 Not Supported
Rust Supported
SQL Supported
Solidity Supported
Swift Supported
Visual Studio Code Supported
Z.ai Supported

Integrations

Python Supported
TypeScript Supported
Alibaba Cloud Not Supported
Anthropic Not Supported
C Not Supported
C++ Not Supported
DeepSeek Not Supported
Git Not Supported
Go Not Supported
Java Not Supported
Kotlin Not Supported
Model Context Protocol (MCP) Not Supported
OpenAI Not Supported
Qwen3.5 Supported
Rust Not Supported
SQL Not Supported
Solidity Not Supported
Swift Not Supported
Visual Studio Code Not Supported
Z.ai Not Supported
Claim Open Code Review and update features and information
Claim Open Code Review and update features and information
Claim Tev1 and update features and information
Claim Tev1 and update features and information