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← Back to Together AI Overview

Together AI Pricing & Plans 2026

Complete pricing guide for Together AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Together AI Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Together AI is worth it →

🆓Free Tier Available
💎4 Paid Plans
⚡No Setup Fees

Choose Your Plan

Serverless Pay-Per-Token

$0.02 - $7.00 per million tokens

mo

  • ✓100+ open-source models
  • ✓OpenAI-compatible API
  • ✓Automatic scaling
  • ✓Function calling support
  • ✓JSON mode
  • ✓Streaming responses
Start Free Trial →

Batch Inference

50% discount from serverless rates

mo

  • ✓Up to 30B tokens per job
  • ✓Asynchronous processing
  • ✓Cost optimization
  • ✓Bulk discounts
  • ✓Priority queuing
Start Free Trial →
Most Popular

Dedicated Endpoints

Custom pricing (hourly reservation)

mo

  • ✓Reserved GPU capacity
  • ✓Sub-100ms latency SLA
  • ✓Custom model hosting
  • ✓Isolated infrastructure
  • ✓Enterprise support
  • ✓Priority access
Start Free Trial →

GPU Cloud

Contact sales for hourly rates

mo

  • ✓H100, A100, V100 access
  • ✓Together Kernel optimization
  • ✓Managed storage
  • ✓Code sandbox environments
  • ✓Flexible scaling
Start Free Trial →

Pricing sourced from Together AI · Last verified March 2026

Feature Comparison

FeaturesServerless Pay-Per-TokenBatch InferenceDedicated EndpointsGPU Cloud
100+ open-source models✓✓✓✓
OpenAI-compatible API✓✓✓✓
Automatic scaling✓✓✓✓
Function calling support✓✓✓✓
JSON mode✓✓✓✓
Streaming responses✓✓✓✓
Up to 30B tokens per job—✓✓✓
Asynchronous processing—✓✓✓
Cost optimization—✓✓✓
Bulk discounts—✓✓✓
Priority queuing—✓✓✓
Reserved GPU capacity——✓✓
Sub-100ms latency SLA——✓✓
Custom model hosting——✓✓
Isolated infrastructure——✓✓
Enterprise support——✓✓
Priority access——✓✓
H100, A100, V100 access———✓
Together Kernel optimization———✓
Managed storage———✓
Code sandbox environments———✓
Flexible scaling———✓

Is Together AI Worth It?

✅ Why Choose Together AI

  • • Dramatically lower costs (5-20x) compared to proprietary models while maintaining quality
  • • Superior inference performance through custom optimizations and ATLAS acceleration
  • • Comprehensive fine-tuning capabilities with automatic deployment and scaling
  • • OpenAI-compatible API enables seamless migration from existing applications
  • • Access to latest open-source models often before other hosting platforms
  • • Full-stack platform covering inference, training, and GPU infrastructure

⚠️ Consider This

  • • Open-source models may not match GPT-4/Claude on highly complex reasoning tasks
  • • Occasional capacity constraints during peak usage on popular models
  • • Fine-tuning requires ML expertise to achieve optimal results for specialized use cases
  • • Limited proprietary model access (no GPT-4 or Claude integration)
  • • Documentation and community support less extensive than major cloud providers

What Users Say About Together AI

👍 What Users Love

  • ✓Dramatically lower costs (5-20x) compared to proprietary models while maintaining quality
  • ✓Superior inference performance through custom optimizations and ATLAS acceleration
  • ✓Comprehensive fine-tuning capabilities with automatic deployment and scaling
  • ✓OpenAI-compatible API enables seamless migration from existing applications
  • ✓Access to latest open-source models often before other hosting platforms
  • ✓Full-stack platform covering inference, training, and GPU infrastructure

👎 Common Concerns

  • ⚠Open-source models may not match GPT-4/Claude on highly complex reasoning tasks
  • ⚠Occasional capacity constraints during peak usage on popular models
  • ⚠Fine-tuning requires ML expertise to achieve optimal results for specialized use cases
  • ⚠Limited proprietary model access (no GPT-4 or Claude integration)
  • ⚠Documentation and community support less extensive than major cloud providers

Pricing FAQ

How does Together AI compare to using OpenAI's API directly?

Together AI provides access to open-source models (Llama, Mistral, DeepSeek) through an OpenAI-compatible API. Key advantages include 5-20x lower costs per token, faster inference speeds through custom optimizations, and access to specialized models. The tradeoff is that even the best open-source models may lag behind GPT-4 on complex reasoning tasks, though the gap is rapidly narrowing with models like Llama 3.3 and DeepSeek-V3.

Does Together AI support function calling for AI agents?

Yes, Together AI implements OpenAI-compatible function calling across supported models including Llama, Mistral, and other major families. The implementation uses the same tools/function_call API format, so existing agent code using OpenAI SDK works with minimal changes. Function calling quality varies by model size - larger models (70B+) generally produce more reliable tool calls than smaller ones.

Can I fine-tune models on Together AI for my specific use case?

Yes, Together AI provides comprehensive fine-tuning capabilities for customizing open-source models on your data. You can fine-tune Llama, Mistral, and other supported base models using instruction tuning, domain adaptation, or full fine-tuning. The platform supports advanced techniques like LoRA and QLoRA for efficient training. Fine-tuned models are automatically deployed for inference through the same API with usage-based pricing.

What are dedicated endpoints and when should I use them?

Dedicated endpoints provide reserved GPU capacity with guaranteed performance and sub-100ms latency SLAs. They're ideal for production applications requiring consistent performance, high-volume workloads, or custom model hosting. Unlike serverless inference which shares resources, dedicated endpoints give you isolated infrastructure. Pricing is based on hourly GPU reservations rather than per-token usage.

How reliable is Together AI for production workloads?

Together AI offers 99.9% uptime SLA on dedicated endpoints and maintains high availability on serverless infrastructure. The platform is SOC 2 Type II certified with enterprise security features. For mission-critical applications, dedicated endpoints provide the most reliable option with guaranteed capacity and consistent performance. Enterprise plans include priority support and custom SLAs.

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