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LLM Platform Provider: Together AI

Together AI

Together AI is a cloud inference platform optimized for running open-source large language models at scale with industry-leading speed and cost efficiency. Founded by researchers from Stanford, Meta, and Google, Together AI provides API access to dozens of leading open models inc...

Together AI
language-models inference-platform open-source

Overview

Together AI is a cloud inference platform optimized for running open-source large language models at scale with industry-leading speed and cost efficiency. Founded by researchers from Stanford, Meta, and Google, Together AI provides API access to dozens of leading open models including Llama, Mistral, Qwen, and DeepSeek, along with image generation models like Stable Diffusion and FLUX. The platform uses advanced optimizations including FlashAttention-2, continuous batching, speculative decoding, and tensor parallelism to achieve 2-5x faster inference compared to standard deployments with typical latency of 50-200ms time to first token and 30-80 tokens per second generation speed. Together AI's pricing is highly competitive, often 50-80% cheaper than OpenAI while providing similar quality with open models like Llama 3.1 70B at $0.88/$0.88 per million tokens. The service also offers fine-tuning capabilities, custom model deployment, and dedicated capacity for enterprise users requiring guaranteed availability and performance. With a focus on open-source models, transparent pricing, and both cloud and self-hosted options, Together AI appeals to developers seeking cost-effective alternatives to proprietary LLM APIs.

Key Features

  • 50+ open LLMs
  • 2-5x faster inference
  • 50-80% cost savings
  • Fine-tuning
  • Image generation
  • Function calling
  • OpenAI-compatible API
  • Dedicated capacity

Use Cases

  • Cost-effective LLM deployment
  • Open-source experimentation
  • High-volume inference
  • Custom fine-tuning
  • Multi-model apps
  • Budget-conscious projects

Technical Specifications

Optimized with FlashAttention-2, continuous batching, tensor parallelism. Latency: 50-200ms first token, 30-80 tokens/s. Supports models up to 405B parameters (Llama 3.1 405B). Context windows up to 128k tokens. GPU: H100, A100. 99.9% uptime SLA.

Pricing

Llama 3.1 70B: $0.88/$0.88 per million tokens. Mistral 7B: $0.20/$0.20. Qwen 2.5 72B: $0.80/$0.80. Image: FLUX.1 $0.025/image. Fine-tuning: $2.50/million tokens. Enterprise: volume discounts.

Code Example

import together\n\ntogether.api_key = "your_api_key"\n\n# Chat\nresponse = together.Complete.create(\n    model="meta-llama/Llama-3-70b-chat-hf",\n    prompt="Explain machine learning simply",\n    max_tokens=500\n)\nprint(response["output"]["choices"][0]["text"])

Professional Integration Services by 21medien

21medien offers comprehensive integration services for Together AI, including API integration, workflow automation, performance optimization, and training programs. Schedule a free consultation through our contact page.

Resources

Official website: https://together.ai

Official Resources

https://together.ai