Product

Together Inference

by Together AI

Product website
https://www.together.ai
Documentation
https://docs.together.ai
Pricing
https://www.together.ai/pricing
Categories
AI Inference / Model Serving

Description

Together AI product, documented at docs.together.ai.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 27% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration2/10Trust2/6Portability2/4Security1/4Tier D31/100
Component Raw Weight Contribution
Integration 2/10 35% 7.0
Trust 2/6 30% 10.0
Portability 2/4 20% 10.0
Security 1/4 15% 3.8
Signals that fired
  • Integration: Command-line interface (+1) ; SDK / developer kit (+1)
  • Trust: Zero data retention (available, +1) ; No generative AI training (available, +1)
  • Portability: Standard protocol access (+1) ; No proprietary-SDK lock-in (+1)
  • Security: Access controls — RBAC / ABAC (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills
  • Trust & data policy: Trust center, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap, Self-hostable, Open source
  • Security & compliance: Compliance certifications

Trust & data policy

Zero data retention
Available
No generative AI training
Available
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes

Not yet researched Trust center, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap, Self-hostable, Open source

Security & compliance

Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.

Access controls

RBAC

Not yet researched Compliance certifications

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

Command-line interfaces

Developer kits

Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills

Llama 3.3 70B Serverless

Rate Unit price
Llama 3.3 70B Serverless $1.04 per 1,000,000 input_tokens
Llama 3.3 70B Serverless $1.04 per 1,000,000 output_tokens

Billing: Pay As You Go

Serverless inference token pricing.

Reviews

No approved reviews yet.

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Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

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Together Inference — listed on Open Agent Guide Together Inference — listed on Open Agent Guide

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Markdown

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Ready to decide?

Unrated · 27% researched. Grade withheld until more fields are verified.

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