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Together AI

8.7
Great

Cloud inference platform for running 200+ open-source AI models with pay-per-token pricing, fine-tuning, and batch processing.

open-source
coding
research
API

by Together AI · Founded 2022

Overview

Together AI has established itself as one of the premier platforms for running open-source AI models in the cloud. With access to over 200 models — from Llama 4 and DeepSeek V3 to Qwen 3 and Mistral — it serves as a one-stop shop for developers who want the power of open-source models without managing their own GPU infrastructure. The $25 in free starter credits with no credit card required makes it easy to experiment, and the pure pay-per-token pricing means you never pay for idle resources.

What sets Together AI apart from competitors is speed. Their inference infrastructure is consistently benchmarked as one of the fastest in the market, which matters enormously for production applications where latency directly impacts user experience. The pricing is competitive across model sizes, ranging from $0.05 per million tokens for small models to $0.90 for 70B-parameter models. The 50% batch processing discount and 50% cached token discount make it particularly cost-effective for applications with predictable workloads or repeated context windows.

The fine-tuning support is a significant differentiator for teams that need custom models. Together AI supports both LoRA (lightweight) and full fine-tuning, allowing you to adapt any open-source model to your specific use case and then deploy it on their infrastructure. The main limitation is accessibility — Together AI is fundamentally a developer tool that requires API knowledge. There is no ChatGPT-like interface for casual users. For developers and engineering teams building AI-powered applications on open-source models, Together AI delivers the best combination of model selection, speed, and pricing flexibility available today.

Best Use Cases

Running open-source LLMs in production
Fine-tuning custom AI models
Cost-effective batch inference
Developers building AI applications
Comparing open-source models

Key Features

Models200+ open-source
Top ModelsLlama 4, DeepSeek V3, Qwen 3
Fine-TuningLoRA & full fine-tuning
Batch Processing50% discount
SpeedIndustry-leading latency
Cached Tokens50% discount on reuse

Integrations

OpenAI-compatible API
LangChain
LlamaIndex
Python SDK
TypeScript SDK

Pros & Cons

Pros

  • 200+ open-source models available
  • $25 free credits for new users
  • Fastest inference speeds in the market
  • Fine-tuning support for custom models
  • 50% discount on batch processing
  • No minimum commitments or subscriptions

Cons

  • Costs can add up quickly at scale
  • Requires API knowledge to use
  • No visual UI for non-developers
  • Pricing varies significantly across models

Reviews (0)

0/2000

Pricing

Free Credits$25 free
  • $25 in starter credits
  • All 200+ models
  • No credit card required
Serverless$0.05-9.00/M tokens
  • Pay-per-token
  • No minimums
  • Auto-scaling
Batch50% off serverless
  • 24-hour processing window
  • Half-price inference
  • Same model access
DedicatedCustom/hour
  • Reserved GPU capacity
  • Consistent performance
  • Fine-tuning support
See full pricing breakdown →
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Company

CompanyTogether AI
Founded2022
HQSan Francisco, CA
Launched2023-06