Side-by-Side Comparison · 2026

Fireworks 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.

Fireworks AI

Fireworks AI

Paid
vs

Groq API

Groq

Freemium
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: Freemium
API Access
Fireworks AI: Not availableGroq API: Not available
Platforms
Fireworks AI: WebGroq API: Web
Integrations
Fireworks AI: —Groq API: —
Vendor
Fireworks AI: Fireworks AIGroq API: Groq
Category
Fireworks AI: InfrastructureGroq API: APIs
Launch
Fireworks AI: —Groq API: —

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
Full Fireworks AI details

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
Full Groq API details

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.