💳 Per-second billing
Cerebrium
Developers deploying generative AI, TTS, or voice agents who need instant serverless scaling and sub-second cold starts.
LLMVisionAudioCustom Python✓ Free tier
⚙ Custom SDK
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Together AI
🤖 Managed InferenceFinetuning Open Source Models, Serverless inference endpoints
The Gold Standard for Open-Source Inference
Together AI has established itself as the leading inference engine for open-source foundation models. Utilizing their proprietary FlashAttention-3 and highly optimized custom routing architectures, Together routinely benchmarks as one of the fastest providers in the world for models like Meta’s Llama 3 and Mistral’s Mixtral. This extreme optimization allows them to offer inference at a fraction of the cost of proprietary models like GPT-4.
Seamless Integration
The platform is designed specifically to capture frustrated OpenAI developers. Together AI provides a 100% OpenAI-compatible API endpoint. This means a developer can switch an entire application from ChatGPT to Llama 3 simply by changing the Base URL and the API Key in their existing SDK code. There is zero architectural rewrite required.
Enterprise Privacy and Fine-Tuning
For enterprise clients, Together AI offers a strict zero-data-retention policy, guaranteeing that customer inputs are never used to train future models. Beyond raw inference, they offer a highly streamlined fine-tuning pipeline, allowing companies to upload proprietary datasets and spin up custom-tuned LoRA models hosted on serverless endpoints within minutes.
Supported Workloads
LLMVisionEmbedding
Pros & Cons
Pros
- Fastest open-source inference engine
- Flawless OpenAI API drop-in replacement
- Extensive model catalog
- Highly competitive pricing
Cons
- Rate limits can be strict for free tiers
- Occasional model cold starts on rare variants
Served Models
Llama 3, Mixtral 8x22B, Qwen 1.5, DeepSeek
Data Privacy Policy
Zero Data Retention (Enterprise)
OpenAI-compatible API
Drop-in replacement for OpenAI. Change one line of code — point your base URL to Together AI's endpoint instead of api.openai.com. All existing OpenAI SDKs (Python, Node.js) and libraries like LangChain or LlamaIndex will work out of the box.
Quick Start Snippet
Python
from openai import OpenAI
# Initialize the client pointing to Together AI
client = OpenAI(
api_key='YOUR_API_KEY',
base_url='https://www.together.ai/v1'
)
# Run inference
response = client.chat.completions.create(
model='your-chosen-model',
messages=[{'role': 'user', 'content': 'Hello, world!'}]
)| Website | Visit Official Site ↗ |
Billing Model
Per-token billing
You pay purely based on input and output tokens. The most cost-effective and predictable model for LLM inference.
Generous Free Tier Available
Start building without a credit card. Perfect for prototyping and testing the API before scaling into production workloads.
AI House 2026
Digital Promise program opens $8 million AI tutoring grant backed by Gates Foundation
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Together AI Masters MiniMax M3 Inference
Together AI
🤖 Managed Inference
✓ Free tier available
OpenAI SDK Compatible
Start for Free (No CC)
Scale to 0 (No idle costs)
Community Discussions
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Frequently Asked Questions
Together AI uses a per-token billing model. You pay only for what you use — no idle server costs.
Yes, Together AI provides an OpenAI-compatible API, so you can swap it in place of OpenAI with minimal code changes.
Together AI supports LLM, Vision, Embedding. Use the API to deploy custom models or use their pre-built endpoints.
Yes, Together AI offers a free tier so you can test the platform without a credit card.
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