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Together AI logo
Together AI logo

Together AI

Open-weight inference, fine-tuning, and GPU-cloud platform

api-usage-basedupdated Aug 16, 2026

Together AI is a cloud platform for running, fine-tuning, batching, and training open-weight AI models. It supports serverless inference, dedicated endpoints, LoRA and full fine-tuning, GPU clusters, code-execution sandboxes, and async batch jobs up to 30B tokens per model. Current docs list fast-moving families such as Qwen, Kimi, GLM, GPT-OSS, DeepSeek, Llama, MiniMax, and Mistral.

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Together AI is a cloud platform for running, fine-tuning, and training open-source AI models with optimized inference performance and no infrastructure management required. It addresses the challenge developers face when trying to use open-source models in production: setting up GPU clusters, optimizing serving frameworks, and managing scaling. Together AI handles all of this behind a simple API, letting teams focus on building AI-powered applications rather than wrestling with infrastructure.

Together AI's inference engine delivers speeds vendor-positioned throughput gains on selected workloads, with support for both serverless endpoints and dedicated GPU instances. The fine-tuning platform supports models with over 100 billion parameters including current families such as DeepSeek V4 Pro, Qwen3.x, Kimi K2.x, GLM, GPT-OSS, Llama, MiniMax, and Mistral, with native support for tool calling, reasoning, and vision-language training. Developers can train with long-context fine-tuning options where supported, use advanced DPO variants, and fine-tune vision models directly on raw image data. The platform also supports asynchronous batch processing that scales to 30 billion tokens per model, making it cost-effective for large-scale data processing workloads.

Together AI is designed for AI developers, startups, and enterprise teams who want to leverage open-source models without the overhead of managing GPU infrastructure. Common use cases include building custom chatbots, creating retrieval-augmented generation pipelines, running inference at scale for production applications, and fine-tuning models on proprietary data. The platform supports a wide catalog of models spanning text, image, and code generation. Together AI competes with Fireworks AI, Replicate, and Groq as a leading inference provider for open-source models, differentiating itself with comprehensive fine-tuning capabilities and competitive pricing.

Pricing

Pay-per-use / serverless per-token pricing / dedicated H100 $6.49/hr, H200 $7.89/hr, B200 $11.95/hr / free credits

Platforms

API

Categories

Tags

Use Cases

Groq logo

Groq

Ultra-fast LPU inference for open-weight models

Groq is an AI inference provider built around custom Language Processing Unit (LPU) hardware for low-latency open-weight model serving. GroqCloud exposes an OpenAI-compatible API for Llama, GPT-OSS, Qwen, Kimi, DeepSeek, Gemma, Whisper, and related models, with high token-throughput positioning, model-specific rate limits, and usage-based pricing.

freemium
Fireworks AI logo

Fireworks AI

Production-grade inference with serverless and on-demand GPUs

High-performance inference platform serving open-source and custom AI models at global scale, processing 13+ trillion tokens daily at ~180K requests per second. Fireworks AI delivers 1,000+ tokens per second on large models through quantization-aware tuning and adaptive speculation, with serverless, fine-tuning, and dedicated GPU options across text, image, and audio modalities.

freemium
OpenRouter logo

OpenRouter

Unified API gateway for 200+ AI models

Unified API gateway providing access to 500+ AI models from leading providers through a single OpenAI-compatible interface. OpenRouter eliminates the need to manage separate keys, billing, and integrations across providers like OpenAI, Anthropic, Google, and Meta, with built-in plugins for web search, PDF processing, automatic fallback routing, and per-model cost tracking.

api-usage-based
fal.ai logo

fal.ai

Serverless AI inference for generative media at scale

fal.ai is a serverless AI inference platform providing ultra-low-latency APIs for generating images, videos, audio, and 3D models. With 600+ production-ready models and native Python and JavaScript SDKs, it eliminates GPU management while delivering 30-50% lower costs than alternatives. Automatic scaling with no cold starts and real-time streaming support make it ideal for interactive AI applications.

api-usage-based
Cerebras logo

Cerebras

Wafer-scale inference at thousands of tokens per second

Cerebras Inference serves open-weight LLMs like Llama, Qwen, and GPT-OSS on wafer-scale CS-3 chips through an OpenAI-compatible API, benchmarking between 1,800 and 2,600 output tokens per second on Llama 3.1 8B and several hundred on 70B models. A free tier offers one million tokens per day with no credit card, while paid pay-per-token pricing starts at $0.04 per million tokens for the smaller Llama models.

freemium

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Open Source

Comparisons

Together AI vs Fireworks AI — Open-Weight Inference: Catalog vs FireAttention Speed in 2026

Together AI and Fireworks AI are the two leading dedicated inference hosts for open-weight models in 2026. Together leans into catalog breadth (200+ models), fine-tuning, and bare GPU clusters, while Fireworks leans into raw latency via its proprietary FireAttention engine, first-class function calling, and a curated 50-model menu. This comparison covers speed benchmarks, pricing, fine-tuning, function calling, and vendor flexibility to help you choose the right default — or run both in production.

Together AIFireworks AI

Groq Cloud vs Together AI — Fast Inference LLM Providers for Developer Applications

Groq and Together AI are both focused on fast, cost-effective LLM inference for developers, but with different technical bets. Groq uses custom LPU hardware for ultra-low-latency inference that can be 10-20x faster than GPU-based alternatives. Together AI provides GPU-based inference with a broader model selection, fine-tuning capabilities, and competitive pricing. Both offer OpenAI-compatible APIs for easy integration.

GroqTogether AI

FAQ

What is Together AI?

Together AI is a cloud platform for running, fine-tuning, batching, and training open-weight AI models. It supports serverless inference, dedicated endpoints, LoRA and full fine-tuning, GPU clusters, code-execution sandboxes, and async batch jobs up to 30B tokens per model. Current docs list fast-moving families such as Qwen, Kimi, GLM, GPT-OSS, DeepSeek, Llama, MiniMax, and Mistral.

Is Together AI free?

Together AI uses usage-based API pricing. Pay-per-use / serverless per-token pricing / dedicated H100 $6.49/hr, H200 $7.89/hr, B200 $11.95/hr / free credits

What are the best Together AI alternatives?

The top editor-verified Together AI alternatives are Groq, Fireworks AI, OpenRouter, and more.

How does Together AI score in our review?

Our hands-on review scores Together AI 89/100 overall, based on speed, privacy, and developer-experience testing.