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.
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.
Bottom Line
Last reviewed: August 2026
Fireworks AI (Models) and Together AI (Developer Tools) come from different corners of the market, so this usually comes down to which job you're actually hiring a tool for, not a head-to-head on the same task. Fireworks AI carries the higher rating (4.6 vs 4.5), but a gap that size rarely overrides a real workflow fit on its own.
Choose Fireworks AI if…
Best for developers who need fast, cheap inference on open-source models without sacrificing production reliability, and its edge is latency that consistently beats cloud providers at 3 to 5 times cheaper pricing than equivalent OpenAI calls. A genuinely strong value pick for open-source inference, the free credit is too small to test real production load.
Choose Together AI if…
Best for developers who want to run, fine-tune, or deploy open-source models via API without managing GPU infrastructure, and its edge is a catalog of 200+ open models across major families, all accessible through one OpenAI-compatible interface. Competitive pricing and real production scale, usage costs are worth modeling before committing to heavy workloads.
| 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