Fireworks AI
Fireworks AI runs open-source language, vision, and multimodal models as a fast, production-grade inference service. Teams use it to serve models like Llama, Qwen, and DeepSeek with low latency, plus tuning and optimization tools, instead of standing up their own GPU stack. Its scale is the headline: the company says it processes more than ten trillion tokens a day, putting it among the largest inference operations outside the hyperscalers, and names customers including Cursor, Perplexity, Notion, Shopify, Uber, and DoorDash. It grew quickly through 2025 and 2026, with annualized revenue around eight hundred million dollars and funding talks at a multibillion-dollar valuation. Pricing is usage-based and aimed at developers and enterprises rather than casual users, and as with any inference provider, real-world latency and cost depend on the model and traffic pattern.
Work at Fireworks AI? Manage this listing
Our take
Fireworks AI is a high-scale inference platform for open models, serving Llama, Qwen, and DeepSeek with low latency for teams like Cursor, Perplexity, and Shopify. It reportedly handles 10T+ tokens a day at around $800M annualized revenue. A serious production choice, though it's usage-priced developer infrastructure, not an app, and cost scales with traffic.
Best for
Engineering teams serving open models in production that need low-latency inference at scale without running their own GPU fleet.
Pros
- Very high-scale, low-latency inference for open models
- Proven with major AI-product customers
- Tuning and optimization tools included
- Fast-growing with strong financial backing
Cons
- Usage-based pricing skews enterprise; no real free tier
- Developer and enterprise infrastructure, not a no-code app
- Performance and cost vary by model and load
How it compares
Fireworks competes most directly with Together on open-model inference; its edge is sheer serving scale, while Groq wins on raw per-token speed via custom silicon.
Full review
Fireworks AI runs open-source language, vision, and multimodal models as a fast, production-grade inference service. Teams use it to serve models like Llama, Qwen, and DeepSeek with low latency, plus tuning and optimization tools, instead of standing up their own GPU stack. Its scale is the headline: the company says it processes more than ten trillion tokens a day, putting it among the largest inference operations outside the hyperscalers, and names customers including Cursor, Perplexity, Notion, Shopify, Uber, and DoorDash. It grew quickly through 2025 and 2026, with annualized revenue around eight hundred million dollars and funding talks at a multibillion-dollar valuation. Pricing is usage-based and aimed at developers and enterprises rather than casual users, and as with any inference provider, real-world latency and cost depend on the model and traffic pattern.
Fireworks competes most directly with Together on open-model inference; its edge is sheer serving scale, while Groq wins on raw per-token speed via custom silicon.
Cloudkart Trust Graph
3.8/5- Actual Utility5/5
Source: Initial LLM-authored rubric (backfill)
- Ease of Use4/5
Source: Initial LLM-authored rubric (backfill)
- Pricing Fairness3/5
Source: Initial LLM-authored rubric (backfill)
- Reliability4/5
Source: Initial LLM-authored rubric (backfill)
- Differentiation3/5
Source: Initial LLM-authored rubric (backfill)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 3.8/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Fireworks AI free, and how much does it cost?
- Fireworks AI is a paid tool.
- Who is Fireworks AI best for?
- Engineering teams serving open models in production that need low-latency inference at scale without running their own GPU fleet.
- How is Fireworks AI rated on Cloudkart.ai?
- Fireworks AI scores 3.8 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Fireworks AI works for you.
Relevant tools
More tools in Productivity & Automation.
NotebookLM
Google's source-grounded research assistant: upload docs, PDFs and links, then ask questions, generate study guides, and turn sources into audio and video overviews. The free tier is genuinely usable; Plus raises the limits.
OpenRouter
OpenRouter is a unified API and marketplace for large language models. With one account and key you can reach 300+ models from OpenAI, Anthropic, Google, Meta, Mistral, Cohere and many smaller providers, using an OpenAI-compatible interface. It charges passthrough rates (provider cost plus a small markup) and publishes live pricing and usage-based model rankings, so you can compare options and route to the cheapest, fastest or most reliable one. It supports automatic fallback across providers and a free-model tier for experimentation; the main costs to watch are a 5.5% credit-card fee, which hits small top-ups hardest, and a 5% bring-your-own-key fee on requests above one million per month.
Gamma
AI design tool that generates polished presentations, websites, documents, and social graphics from a prompt or outline.
Krisp
On-device AI that cancels background noise on any call and records, transcribes, and summarizes meetings with accent conversion.
Compare Fireworks AI head-to-head: vs NotebookLM · vs OpenRouter · vs Gamma · vs Krisp