Together AI
Fastest cloud platform for running and fine-tuning open-source AI models with OpenAI-compatible APIs
200+
Open Models
117
Tokens/sec
$5
Free Credits
Overview
Together AI is a cloud inference platform that provides fast, cost-effective access to 200+ open-source AI models through OpenAI-compatible APIs. Unlike running your own infrastructure or paying premium prices for proprietary models, Together lets developers access Llama 3.3, DeepSeek, Qwen 2.5, Mixtral, and other leading open models with just an API key. The platform specializes in high throughput with their Turbo endpoints delivering 117+ tokens/second, and offers fine-tuning capabilities for customizing models on your own data.
The Verdict
Who Should Use Together AI?
Best For
- Developers building with open-source models
- Cost-conscious teams (10-50x cheaper than GPT-4)
- Apps needing fast inference (sub-second latency)
- Fine-tuning on custom datasets
- Startups avoiding vendor lock-in
Not Ideal For
- Needing GPT-4/Claude (proprietary only)
- Ultra-low latency gaming (try Groq)
- On-premise requirements (cloud only)
- Non-technical users (API-first)
What's Great
- Broadest open model catalog (200+ models)
- Extremely competitive pricing
- OpenAI-compatible API (easy migration)
- Fast Turbo endpoints with speculative decoding
- Built-in fine-tuning platform
- Free $5 credits for new users
Watch Out For
- No proprietary models (OpenAI, Anthropic)
- Rate limits on free tier
- Some models have cold starts
- Fine-tuning requires technical expertise
- Throughput varies by model popularity
Pricing
Free Tier
$5 credits
Get started with free credits
Pay-as-you-go
$0.20/M tokens
Llama 3.3 8B starting price
Turbo
$0.88/M tokens
117+ tok/s, Llama 3.3 70B
Enterprise
Custom
Volume discounts, SLA, support
View all features & details
Top Models
- Llama 3.3 70B & 8B
- DeepSeek-V3 & Coder
- Qwen 2.5 72B & 32B
- Mixtral 8x22B MoE
- Mistral Large & Medium
- CodeLlama 70B & 34B
- DBRX Instruct
- Gemma 2 27B
Capabilities
- Chat completions API
- Text completions API
- Embeddings (M2-BERT, BGE)
- Image generation (SDXL, Flux)
- Vision models (LLaVA)
- Reranking models
- Function calling
- JSON mode
Fine-Tuning
- LoRA & QLoRA support
- Full parameter fine-tuning
- Custom dataset upload
- Automatic hyperparameter tuning
- Evaluation dashboard
- Model versioning
Platform Features
- OpenAI SDK compatible
- Python & JS SDKs
- Playground UI
- Usage dashboard
- API key management
- Webhook integrations
Platform Stats
- 200+ open-source models
- 117+ tokens/sec (Turbo)
- $229M Series A funding
- Founded by ex-Stanford researchers
Enterprise Features
- SOC 2 Type II certified
- 99.9% uptime SLA
- Dedicated capacity
- Priority support
How It Compares
| Feature | Together AI | Fireworks AI | Groq | Anyscale |
|---|---|---|---|---|
| Model Catalog | 200+ models | 50+ models | 10+ models | 30+ models |
| Speed (tok/s) | 117 (Turbo) | 200+ | 800+ | 100 |
| Llama 3.3 70B | $0.88/M | $0.90/M | $0.59/M | $1.00/M |
| Fine-Tuning | Yes, built-in | Yes | No | Yes |
| Image Models | Yes (SDXL, Flux) | Yes | No | No |
| Free Credits | $5 | $1 | Free tier | $10 |
| Best For | Model variety | Speed + price | Ultra-speed | Ray users |
User Reviews
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