Fireworks AI
Fireworks AI
PaidGroq API
Groq
FreemiumFireworks AI vs Groq API: Full Comparison (2026)
Fireworks AI is fast, affordable inference for open-source llms at production scale. Groq API is ultra-fast llm inference - 1,000+ tokens/sec via lpu chips. Use the breakdown below to find the right fit for your needs.
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.
Side-by-Side Overview
Pricing Model
Fireworks AI
PaidGroq API
FreemiumAPI Access
Fireworks AI
Not availableGroq API
Not availablePlatforms
Fireworks AI
WebGroq API
WebIntegrations
Fireworks AI
—Groq API
—Vendor
Fireworks AI
Fireworks AIGroq API
GroqCategory
Fireworks AI
InfrastructureGroq API
APIsLaunch
Fireworks AI
—Groq API
—| Feature | Fireworks AI | Groq API |
|---|---|---|
| Pricing Model | Paid | Freemium |
| API Access | Not available | Not available |
| Platforms | Web | Web |
| Integrations | — | — |
| Vendor | Fireworks AI | Groq |
| Category | Infrastructure | APIs |
| Launch | — | — |
About Fireworks AI
Fireworks AI delivers high-throughput, low-latency inference for open-source models with a focus on production readiness. Supports fine-tuned model deployment and offers function calling, JSON mode, and embedding APIs.
Designed For
- Production LLM deployment
- Fine-tuned model hosting
- Batch inference
- Multi-modal APIs
About Groq API
Groq provides LLM inference at 10-30× the speed of GPU alternatives using proprietary Language Processing Units (LPUs). Offers Llama 4 Scout, Llama 3.3 70B, Mixtral, and Gemma 3 at speeds exceeding 1,000 tokens/second with sub-100ms TTFT. Raised $6.9B and signed $20B chip deal with Nvidia in 2025.
Designed For
- Low-latency AI applications
- Real-time AI agents
- Voice AI
- Chatbots
Strengths & Limitations
Fireworks AI
Strengths
- Production-ready
- Fast inference
- Fine-tuning support
Limitations
- Primarily open-source models
- Less consumer-friendly
Groq API
Strengths
- Fastest available inference (1000+ tps)
- Sub-100ms TTFT
- Competitive pricing
- Llama 4 support
Limitations
- Limited model selection vs cloud providers
- Not for custom model training
Frequently Asked Questions
What is the difference between Fireworks AI and Groq API?
Fireworks AI is fast, affordable inference for open-source llms at production scale, while Groq API is ultra-fast llm inference - 1,000+ tokens/sec via lpu chips. Fireworks AI is designed for Infrastructure; Groq API is designed for APIs. The right fit depends on your specific requirements.
How do the pricing models compare?
Fireworks AI is available under a Paid model. Groq API is available under a Freemium model. Always verify pricing on each vendor's official website as it may change.
How do I choose between Fireworks AI and Groq API?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.
Feature Snapshot
Explore Further
Fireworks AI full detailsGroq API full detailsFireworks AI official siteGroq API official siteRelated Comparisons
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.