Google Gemini vs Together AI
Comparing two ai & llm apis platforms on pricing, features, free tier, and trade-offs.
Quick summary
Google Gemini — Google's multimodal AI with massive context windows. Google's Gemini family (Gemini 2.0 Flash, 1.5 Pro) is a multimodal LLM with up to 2M token context, deep integration with Google Cloud and Vertex AI, and competitive pricing.
Together AI — Run open-source AI models in production. Together AI hosts 200+ open-source models (Llama, Mixtral, Qwen, DeepSeek, Flux) with competitive pricing, fine-tuning, and dedicated endpoints.
Feature comparison
| Feature | Google Gemini | Together AI |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | Free tier + pay | Pay per token |
| Free tier | Yes | Yes |
| Open source | No | No |
| Vision | Yes | Yes |
| Streaming | Yes | Yes |
| Embeddings | Yes | Yes |
| Max Output | 8K | 8K |
| Fine-tuning | Yes | Yes |
| Context Window | 2M | 128K |
| Flagship Model | Gemini 1.5 Pro | Llama 3.3 405B |
| Reasoning Model | Gemini 2.0 Flash Thinking | DeepSeek R1 |
| Function Calling | Yes | Yes |
| EU Data Residency | Yes | No |
Google Gemini
Google's multimodal AI with massive context windows
Pros
- Massive 2M token context window
- Free tier for evaluation
- Native multimodal (audio, video, image)
- Cheapest flagship model
Cons
- Quality variance vs GPT-4o/Claude
- Safety filters can be aggressive
- Google Cloud integration can be overwhelming
Together AI
Run open-source AI models in production
Pros
- 200+ open-source models one API
- Fine-tuning infrastructure built in
- Dedicated endpoints for SLA workloads
- Image generation (Flux) too
Cons
- No proprietary frontier model
- Pricing varies wildly per model
- Documentation sometimes out-of-sync
Which should you choose?
Choose Google Gemini if a free tier is important for your stage. Choose Together AI if a free tier is important for your stage.