Tev1Together AI
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Related Products
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About
NewsCatcher solves the challenge of inconsistent, irrelevant news data with a streamlined approach. We deliver clean, normalized, near-real-time news from 150,000+ global sources in 50+ languages, including hyper-local coverage.
We enrich every article with sentiment scores, named entities, summaries, classification, deduplication, and clustering, maximizing utility while cutting post-processing time and costs.
Our BeyondNews and Local News APIs go further, surfacing government data, policy changes, and official announcements before they hit the news, plus thousands of hyperlocal outlets worldwide.
NewsCatcher helps enterprises build custom pipelines with LLM fine-tuning, delivering a clean, relevant feed with a low false-positive rate for confident decision-making. Structured JSON output plugs directly into AI agents, RAG pipelines, and vector databases, powering risk intelligence, compliance, and market monitoring for finance and government teams.
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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.
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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
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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
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Audience
IT professionals responsible for data pipeline stability and API integration, and R&D leaders who analyze news data for market intelligence, risk management, and strategic decision-making
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Audience
Developers and AI engineering teams seeking to route, classify, score, and apply policy decisions through fast, deterministic structured outputs
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$10,000 per month
Our pricing varies based on several factors, including the specific product, call volume, speed, service level agreements (SLA), historical data access, and optional add-ons such as translation services, custom pipelines, and dedicated resources. For a tailored quote, please contact our sales team.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$0.04 per 1M tokens
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNewsCatcher
United States
newscatcherapi.com
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Company InformationTogether AI
Founded: 2022
United States
www.together.ai/models/tev1-4b-experimental
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Categories |
Categories |
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Integrations
CatchAll
Supported
Company Watchlist
Supported
Python
Not Supported
Qwen3.5
Not Supported
TypeScript
Not Supported
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Integrations
CatchAll
Not Supported
Company Watchlist
Not Supported
Python
Supported
Qwen3.5
Supported
TypeScript
Supported
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