TFireworks AI vs Groq
Pricing, features, platforms and who each one suits — side by side.
Choose Fireworks AI if…
- you're in its core audience: ai application developers, ml engineers
Choose Groq if…
- you want a free plan to start with
- you're in its core audience: ai application developers, startups building llm products
Side by side
Full feature lists
F
Fireworks AI
- Serverless per-token inference for open models
- Single endpoint across 30+ regions
- Model ensembling that routes each task by accuracy and cost
- Dedicated GPU deployments from H100 to GB300
- Managed fine-tuning and training APIs
- Discounted cached input and 50%-off batch jobs
- Data residency controls and region-restricted deployments
- SOC 2 Type 2 and ISO 27001/27701/42001 certifications
G Groq
- OpenAI-compatible API endpoint
- Text generation and reasoning models
- Speech-to-text and text-to-speech
- Vision and OCR support
- Tool use with built-in, remote MCP and local tools
- Structured outputs and prompt caching
- Performance, Flex and Batch service tiers
- Dedicated bare-metal LPU capacity for enterprises
Their home pages
What each vendor shows first: the pitch, the plans and the sign-up.

Fireworks AI · fireworks.ai
What you'd pay
The cheapest plan that fits, per month, billed yearly where the plan offers it.
Fireworks AI
Groq
Price changes we've recorded
We re-read each pricing page every month and log what changed.
Fireworks AI
- Nov 8, 2026Starting price: none → $8/mo; Reserved Throughput: Custom → Serverless rates, committed; New plan: Nexus Pro ($8); New plan: Nexus Team ($10); New plan: Nexus Enterprise (Custom); New plan: Dedicated GPUs ($8); Plan dropped: Dedicated Training API
Groq
No changes since we started tracking.
Strengths and limitations
Fireworks AI
- Serverless pricing starts at $0.05 per 1M input tokens with no commitment
- Batch jobs cost 50% less
- Idle GPU deployments scale to zero after one hour
- Holds SOC 2 Type 2 and several ISO certifications
- Region-restricted deployments cost 1.5x
- Spot capacity is best-effort and only on select models
- Sovereign is still in private preview
Groq
- Drop-in OpenAI-compatible API
- Free plan available
- Covers text, speech, vision and tool use in one API
- 13 data centers across four continents
- Free plan has lower rate limits than Developer plan
- Batch and Flex processing require the Developer plan
More comparisons
Other options to consider
T

Cloud for running, fine-tuning and scaling open-source AI models on GPUs
O

One OpenAI-compatible API to reach hundreds of AI models across 80+ providers
R

Run, fine-tune and deploy open-source ML models through a cloud API
D

MOpen-weight AI models, chat and coding agent you can run on your own infrastructure


Open-weight AI models, chat and coding agent you can run on your own infrastructure
O

Run open AI models locally or in the cloud on macOS, Windows and Linux
Facts from each vendor's public pages. Editorial policy