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AI Tool Comparison
Groq vs Together AI
A side-by-side breakdown to help you pick the right tool for your workflow.
Groq
Run Llama and Qwen on custom LPU chips for very low-latency, high-throughput inference at a fraction of typical GPU token costs. Reports of a $20B Nvidia asset acquisition surfaced in 2026, though Groq continues operating independently.
Developer Tools
freemium
Together AI
Run, fine-tune, and scale open-source models — start on cheap shared inference and graduate to dedicated GPUs (including on-demand B200s) as traffic grows.
Developer Tools
freemium
Bottom Line
Groq edges ahead on rating (4.6 vs 4.5), but the right pick still comes down to which workflow you're running.
Choose Groq if…
Developer Tools
Choose Together AI if…
Developer Tools
| Attribute | Groq | Together AI |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free tier / pay-as-you-go from $0.05/M tokens | Pay-as-you-go from $1.04/M tokens / dedicated GPUs from $6.49/hr |
| Rating |
Key Features
Groq
- Very low-latency inference
- OpenAI-compatible API
- Popular open models hosted
- Generous free tier
Together AI
- Inference for 200+ open models
- Fine-tuning and training
- OpenAI-compatible API
- Dedicated endpoints
Pros
Groq
- •Blazing fast responses
- •Easy drop-in API
- •Cost-effective
Together AI
- •Broad open-model catalog
- •Scales for production
- •Competitive pricing
Cons
Groq
- Limited model selection
- Capacity constraints at peak
Together AI
- Usage costs add up
- Less consumer-facing