Tev1

Tev1

Together AI
+
+

Related Products

  • AnalyticsCreator
    46 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Ethena
    131 Ratings
    Visit Website
  • HERE Enterprise Browser
    2 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • Admin By Request Endpoint Privilege Management
    105 Ratings
    Visit Website
  • Canditech
    111 Ratings
    Visit Website
  • Dynamo Software
    71 Ratings
    Visit Website
  • RouteGenie
    49 Ratings
    Visit Website
  • Planview ProjectAdvantage
    121 Ratings
    Visit Website

About

Microsoft-Decision-1 is a fast decision-scoring model built for structured outputs that software can immediately act on. It is designed for routing, classification, prioritization, verification, and workflow control across applications, agents, and automated systems. The model is post-trained from Qwen3.5-9B for single-pass decision scoring and, when given a fixed set of answer options, returns a calibrated probability for each one. It supports yes/no, multiple-choice, rating, and rubric-based grading of AI responses and agent actions through a structured API. Microsoft evaluated the model across 36 benchmarks covering routing, ranking, long context, multilingual and out-of-distribution tasks, reasoning, and safety, and reports that it achieved the highest accuracy in that comparison while also delivering very low latency. The model is also designed for robustness, with testing focused on keeping decisions stable when prompts are paraphrased.

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 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

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

AI engineering teams and developers seeking to make fast, calibrated routing, classification, scoring, verification, and workflow decisions inside applications and agentic systems

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 Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.042 per 1M tokens
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

Microsoft
Founded: 1975
United States
commandline.microsoft.com/microsoft-decision-1-model-foundry/

Company Information

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

Alternatives

Clef-flash

Clef-flash

Cloudflare

Alternatives

Clef-flash

Clef-flash

Cloudflare
Clef

Clef

Cloudflare
Clef

Clef

Cloudflare
Jev

Jev

TypeSafe AI
Jev

Jev

TypeSafe AI
Solar Decide

Solar Decide

Upstage

Categories

AI Decision Models Supported

Categories

AI Decision Models Supported

Integrations

Qwen3.5 Supported
Microsoft Foundry Supported
OpenRouter Supported
Python Not Supported
TypeScript Not Supported

Integrations

Qwen3.5 Supported
Microsoft Foundry Not Supported
OpenRouter Not Supported
Python Supported
TypeScript Supported
Claim Microsoft-Decision-1 and update features and information
Claim Microsoft-Decision-1 and update features and information
Claim Tev1 and update features and information
Claim Tev1 and update features and information