
Run open-source LLMs with serverless inference and fine-tuning
Visit WebsiteThe Bottom Line
Entry price
Paid plans only
Biggest pro
Many open models
Biggest con
Smaller than big providers
TL;DR - Together AI
- Together AI is an inference platform for open-source AI models
- It provides fast, affordable access to leading open models
- Pay-per-token pricing starting at $0.20/million tokens
What is Together AI?
Available on: Web
Pros & Cons
Pros
- Many open models
- Competitive pricing
- Fast inference
- Good for startups
- Fine-tuning available
Cons
- Smaller than big providers
- Model quality varies
- Support basic
- Documentation gaps
- Newer platform
Ratings Across the Web
Together AI holds an aggregate rating of 4.8 out of 5 from 5 reviews across G2, last checked March 18, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
Pricing Plans
Pricing checked Aug 26, 2026
Serverless Inference
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- Pay per 1M tokens
- Llama 3.1 8B: $0.18/1M tokens
- Llama 3.1 405B: $3.50/1M tokens
- FLUX.1 dev: $0.025/megapixel
- Batch API: 50% lower cost
Fine-Tuning
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- $0.48-2.90/1M tokens (by model size)
- DeepSeek, GLM, Kimi support
- Minimum charges for specialized models
GPU Cloud
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- Instant Clusters: $2.20-5.50/hr/GPU
- Dedicated Endpoints: $2.10-4.99/hr
- Single-tenant deployment
Is Together AI worth the price?
Together AI's serverless inference pricing is competitive for open-source models, with Llama 3.1 405B at $3.50/1M tokens being notably cheaper than most proprietary API alternatives for frontier models, while the GPU cloud and fine-tuning tiers are in line with market rates for on-demand compute.
The 50% discount on batch API is a strong value-add for high-volume users. This pricing is best for developers and teams who want flexible, pay-as-you-go access to a wide range of open-source LLMs without committing to long-term contracts or self-hosting infrastructure.
Hidden Costs & Gotchas
No free tier or credits for testing
Minimum charges for specialized fine-tuning models
GPU cloud reservation might need minimum hourly commitment
Sandbox and interpreter costs add up per session
Network egress fees not listed but likely apply
How Together AI Compares to Competitors
Compared to serverless platforms like Replicate, Together AI offers similar open-source model access but with a broader fine-tuning suite and GPU cloud option, often at slightly lower inference costs. Relative to hyperscaler API services (e.g., AWS Bedrock, GCP Vertex AI), Together AI is cheaper for open models but lacks the same managed service guarantees and top-tier closed model availability, making it a stronger choice for cost-sensitive users who prioritize open-source flexibility.
Reviews

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Together AI FAQ
How does Together AI support the deployment of large language models?
Which teams would benefit most from using Together AI?
How does Together AI compare to Anyscale for running LLMs?
What kind of trade-offs should users consider when choosing Together AI?
Does Together AI include options for customizing existing models?
How is Together AI priced?
Source: together.ai