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AI Tool Comparison
Fireworks AI vs Together AI
A side-by-side breakdown to help you pick the right tool for your workflow.
Fireworks AI
Run Llama, Mixtral, and 50+ open-source models at production speed — 3–5x cheaper than OpenAI-equivalent APIs with the same SDK you're already using.
Models
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
Fireworks AI edges ahead on rating (4.6 vs 4.5), but the right pick still comes down to which workflow you're running.
Choose Fireworks AI if…
Coding
Choose Together AI if…
Developer Tools
| Attribute | Fireworks AI | Together AI |
|---|---|---|
| Category | Models | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free $1 credit / Pay-per-token from $0.20/M tokens | Pay-as-you-go from $1.04/M tokens / dedicated GPUs from $6.49/hr |
| Rating |
Key Features
Fireworks AI
- OpenAI-compatible API for instant drop-in replacement
- 50+ open-source models including Llama, Mixtral, and Gemma
- Compound AI system deployment (multiple models in one call)
- Function calling and JSON mode across all supported models
- Fine-tuning API for custom model specialization
- Sub-100ms time-to-first-token on most models
Together AI
- Inference for 200+ open models
- Fine-tuning and training
- OpenAI-compatible API
- Dedicated endpoints
Pros
Fireworks AI
- •Best-in-class latency for open-source model inference
- •Significantly cheaper than OpenAI at scale
- •OpenAI-compatible API means zero migration effort
Together AI
- •Broad open-model catalog
- •Scales for production
- •Competitive pricing
Cons
Fireworks AI
- Smaller model selection than OpenRouter
- Fine-tuning has limited base model options vs dedicated platforms
- Free credit is small — production workloads require billing setup
Together AI
- Usage costs add up
- Less consumer-facing