# Together AI > The broadest open-model platform: serverless, dedicated, GPU clusters and fine-tuning on one bill. Canonical: https://www.subconscious.dev/providers/together-ai · By The Subconscious Team · Updated September 30, 2026 - Founded: 2022 - Example models: Kimi K3, DeepSeek V4 Pro - Website: https://www.together.ai ## Overview Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs past thirty open models, including DeepSeek V4, Kimi K3, GLM 5.2, Qwen 3.8 and MiniMax M3, plus image, video, speech and embedding models. Token prices sit at parity with Fireworks and Baseten. The research team behind FlashAttention and Medusa shapes the serving stack, and Together says it serves more than 400 trillion tokens a month. A July 2026 platform update added canary and blue-green rollouts, shadow traffic, A/B routing and autoscaling on signals like time to first token. Training covers LoRA and full-parameter SFT from $0.48 per million training tokens, and a closed beta adds reinforcement learning with checkpoints that deploy straight to inference. GPU clusters are the cheapest line item on the page, with H100s from $3.19 an hour reserved. ## Upsides - Train, post-train and serve on one platform with no handoff between them. - Competitive raw GPU pricing for teams that want clusters. - New open models land within days of release. ## Core use cases - Fine-tuning or RL on proprietary data, then serving the checkpoint. - Mid-training and large-scale experiments on reserved clusters. - Migrating off closed APIs to open models through an OpenAI-compatible endpoint. ## Downsides - No free tier, so evaluation costs real money from day one. - Dedicated inference costs noticeably more per GPU hour than a raw cluster on the same silicon, which trips up budgets. ## At a glance | Attribute | Value | |---|---| | Model access | Open weights | | Flagship models | Kimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8 | | Speed | 0.99s TTFT on DeepSeek V4 Pro | | Price | Parity with Fireworks and Baseten | | Customization | LoRA and full SFT; RL in beta | | Deployment | Serverless, dedicated, GPU clusters | | Long context | 512K on DeepSeek V4 Pro | ## FAQ ### What is Together AI? Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs past thirty open models, including DeepSeek V4, Kimi K3, GLM 5.2, Qwen 3.8 and MiniMax M3, plus image, video, speech and embedding models. Token prices sit at parity with Fireworks and Baseten. ### What is Together AI best for? Fine-tuning or RL on proprietary data, then serving the checkpoint; Mid-training and large-scale experiments on reserved clusters; Migrating off closed APIs to open models through an OpenAI-compatible endpoint. ### How much does Together AI cost? Together AI pricing at a glance: Parity with Fireworks and Baseten. Rates change often, so check Together AI's pricing page before committing. ### How much context does Together AI support? Together AI's long-context support: 512K on DeepSeek V4 Pro. ### What are the downsides of Together AI? No free tier, so evaluation costs real money from day one; Dedicated inference costs noticeably more per GPU hour than a raw cluster on the same silicon, which trips up budgets. ### What are the best alternatives to Together AI? Common alternatives include Subconscious, OpenAI, Anthropic, Google Vertex AI, Amazon Bedrock. Each has a head-to-head comparison with Together AI on this site. ## Comparisons - [Subconscious vs Together AI](https://www.subconscious.dev/compare/subconscious-vs-together-ai.md) - [OpenAI vs Together AI](https://www.subconscious.dev/compare/openai-vs-together-ai.md) - [Anthropic vs Together AI](https://www.subconscious.dev/compare/anthropic-vs-together-ai.md) - [Google Vertex AI vs Together AI](https://www.subconscious.dev/compare/google-vertex-vs-together-ai.md) - [Amazon Bedrock vs Together AI](https://www.subconscious.dev/compare/aws-bedrock-vs-together-ai.md) - [Together AI vs Fireworks AI](https://www.subconscious.dev/compare/together-ai-vs-fireworks.md) - [Together AI vs Baseten](https://www.subconscious.dev/compare/together-ai-vs-baseten.md) - [Together AI vs Groq](https://www.subconscious.dev/compare/together-ai-vs-groq.md) - [Together AI vs Cerebras](https://www.subconscious.dev/compare/together-ai-vs-cerebras.md) - [Together AI vs DeepInfra](https://www.subconscious.dev/compare/together-ai-vs-deepinfra.md) - [Together AI vs Modal](https://www.subconscious.dev/compare/together-ai-vs-modal.md) - [Together AI vs xAI](https://www.subconscious.dev/compare/together-ai-vs-xai.md) - [Together AI vs DeepSeek](https://www.subconscious.dev/compare/together-ai-vs-deepseek.md) - [Together AI vs Moonshot AI](https://www.subconscious.dev/compare/together-ai-vs-moonshot-ai.md) - [Together AI vs Z.ai](https://www.subconscious.dev/compare/together-ai-vs-z-ai.md) - [Together AI vs Alibaba Cloud](https://www.subconscious.dev/compare/together-ai-vs-alibaba-cloud.md) - [Together AI vs Meta](https://www.subconscious.dev/compare/together-ai-vs-meta.md) - [Together AI vs SambaNova](https://www.subconscious.dev/compare/together-ai-vs-sambanova.md) - [Together AI vs Nebius](https://www.subconscious.dev/compare/together-ai-vs-nebius.md) - [Together AI vs fal](https://www.subconscious.dev/compare/together-ai-vs-fal.md) - [Together AI vs Novita AI](https://www.subconscious.dev/compare/together-ai-vs-novita-ai.md) - [Together AI vs Parasail](https://www.subconscious.dev/compare/together-ai-vs-parasail.md) - [Together AI vs Inference.net](https://www.subconscious.dev/compare/together-ai-vs-inference-net.md) - [Together AI vs GMI Cloud](https://www.subconscious.dev/compare/together-ai-vs-gmi-cloud.md) - [Together AI vs Sail Research](https://www.subconscious.dev/compare/together-ai-vs-sail-research.md) - [Together AI vs Morph](https://www.subconscious.dev/compare/together-ai-vs-morph.md) - [Together AI vs Relace](https://www.subconscious.dev/compare/together-ai-vs-relace.md) - [Together AI vs TypeSafe AI](https://www.subconscious.dev/compare/together-ai-vs-typesafe-ai.md) - [Together AI vs StepFun](https://www.subconscious.dev/compare/together-ai-vs-stepfun.md) - [Together AI vs Runware](https://www.subconscious.dev/compare/together-ai-vs-runware.md) - [Together AI vs StreamLake](https://www.subconscious.dev/compare/together-ai-vs-streamlake.md) - [Together AI vs Wafer](https://www.subconscious.dev/compare/together-ai-vs-wafer.md) - [Together AI vs RunInfra](https://www.subconscious.dev/compare/together-ai-vs-runinfra.md) - [Together AI vs Particle.AI](https://www.subconscious.dev/compare/together-ai-vs-particle-ai.md) ## Sources - [Together AI review, Continuum](https://continuumcode.ai/guides/together-ai-review/) - [Together platform update](https://www.together.ai/blog/the-production-platform-for-open-weight-ai-inference) Pricing and model lineups change often; figures are a snapshot.