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.
| 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
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
-
Together Python SDK
Languages: Python
Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills
Offers
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 |
No recorded price in this currency
Serverless inference token pricing.
Reviews
No approved reviews yet.
Catalog activity
Track how this entry changes as proposals are opened and merged.
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Ready to decide?
Unrated · 27% researched. Grade withheld until more fields are verified.