Fireworks AI

Fireworks AI

Fireworks AI provides production-ready inference and fine-tuning for open source AI models. It offers serverless inference with per-token pricing, on-demand GPU deployments, and managed training for supervised, preference, and reinforcement fine-tuning. Supporting over 100 models including DeepSeek, GLM, and Qwen, it enables function calling, structured outputs, and vision capabilities. Designed for developers, AI researchers, and enterprises building scalable AI applications, it ensures high throughput, low latency, and cost efficiency.

Coding
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Added on
Aug 26, 2026
Monthly Visits
602.8K
Open ModelsFast InferenceFine-tuningServerlessOn-DemandRL SupportSOC 2 CompliantAPI Compatible
Product information

Everything worth knowing about Fireworks AI

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Serverless Inference
Pay-per-token pricing with zero setup, no cold starts, and OpenAI-compatible API for instant model access.
On-Demand Deployments
Dedicated GPU deployments with autoscaling, faster speeds, and higher rate limits for production workloads.
Managed Training
Fine-tune models using supervised, preference (DPO), and reinforcement learning with minimal setup.
Model Library
Access 100+ optimized open models (text, vision, audio, embeddings) with a single API call.
Function Calling
Connect models to tools and APIs for agentic workflows with structured outputs and reliability.
Technical capabilities
RL Inference Scaling
Elastic global scaling for reinforcement learning workloads, supporting high-throughput production inference.
Multi-LoRA Deployment
Efficiently serve multiple fine-tuned models on shared base models to reduce costs and latency.
Must watch videos
DevRel @ Fireworks Webinar: K3 on Fireworks
1:25:30
Tutorial1:25:30
DevRel @ Fireworks Webinar: K3 on Fireworks
K3 is here. The world's first open frontier model in the 3-trillion-parameter class. Come see how to run it, train it, and put it to work, on Fireworks. We'll give you the tour: what K3 is, where it lands against other frontier models, and why an open model at this scale changes the calculus for what you build and where you run it. How to use K3 on Fireworks inference K3 went live on Fireworks Day 0 for both inference and training. It’s US-hosted, with zero-data-retention options, and you have no GPUs to manage. We'll walk through serverless pay-by-token access and the deployment paths available as your workload grows, so you can go from "curious" to "in production" ASAP. Post-Training K3 on the Fireworks Training API Watch as we post-train an agent on top of K3 using Fireworks’ new serverless training API. Full examples will be available on GitHub: https://github.com/fw-ai
Live Cost Monitoring on Fireworks Nexus
2:25
Tutorial2:25
Live Cost Monitoring on Fireworks Nexus
Fireworks Nexus allows you to drop open models in the harnesses your engineers use, cutting your spend in half without sacrificing speed or quality. Live cost monitoring in your LLM router allows you to set user budgets and measure ROI on your workloads. Admins see every user's spend, limit, and override. Engineers see their own before they hit a wall. Live cost monitoring allows developers governed access to experiment with frontier open source models. You can set the ceiling once in Settings, firectl, or REST API.
How to Run a Batch Job on Fireworks
2:12
Tutorial2:12
How to Run a Batch Job on Fireworks
Here's how to quickly and easily run a batch job on Fireworks. Batch jobs allow you to process large-scale async workloads at a discount Batch API is ideal for: - Data labeling and synthetic data generation - Training smaller models with larger ones (distillation guide) - Large-scale evaluations and benchmarking - Document processing and more Learn more about our Batch API on our docs: https://docs.fireworks.ai/guides/batch-inference

Who uses it

Real use cases, no hype
Code Assistance
AI-powered code generation and editing for developers.
Conversational AI
Build chatbots and virtual assistants with natural language processing.
Agentic Systems
Create autonomous agents that can perform complex tasks.
Search
Enhance search capabilities with AI for better relevance and speed.
Multimodal
Process and analyze images, audio, and text together.
Enterprise RAG
Implement retrieval-augmented generation for enterprise data.
Model Fine-Tuning
Customize open models with your data for specialized intelligence.
What's great
  • Blazing-fast inference speeds
  • Pay-per-token pricing saves costs
  • Huge library of open-source models
  • Enterprise security and compliance
Technical strengths
  • Seamless OpenAI API migration
  • Advanced LoRA & RL fine-tuning
  • Auto-scaling multi-region deployments
Where it falls short
  • Requires technical know-how
  • Costs add up with heavy usage
  • Needs stable internet for serverless
  • No permanent free tier
Technical limitations
  • Fine-tuning large models is GPU-intensive
  • Limited infra control in serverless
For technical folks

The deep-dive specs

Architecture
Transformer-based LLMs with optimized inference engine
GPU Hardware
NVIDIA H100, H200, B200, B300, GB300
Training Techniques
SFT, DPO, Reinforcement Learning (RL) including serverless and dedicated options
Inference Modes
Serverless (per-token), On-Demand (per-GPU-hour), Reserved (capacity-based)
API Compatibility
OpenAI and Anthropic compatible for drop-in replacement

FAQ

Includes technical Q&A
Fireworks AI supports over 100 open-source models including text, vision, audio, image, and embedding models, with regular updates.

Traffic Insights

Monthly Visits

602.8K

October 2026

Growth Rate

+0,5%

vs last month

Dominance

0%

in Coding

Top Country

United States

29% of traffic

Top Countries Breakdown

United States
29%
Bangladesh
23%
India
4%
Algeria
3%
Russia
2%

Growth Trend

Steady

Consistent user growth over last 6 months.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Free Trial
Free

Individuals

  • $1 free credits to start
  • Pay-per-token after credits used
  • Access to serverless inference
Serverless
Most picked
Variable

Developers

  • Per token pricing with no cold starts
  • OpenAI and Anthropic compatible API
  • Priority and Fast tier options
On-Demand
Pay-per-GPU-hour

Teams

  • Dedicated GPU deployments
  • Autoscaling and minimal cold starts
  • Support for post-trained models
Reserved
Custom

Enterprise

  • Guaranteed capacity and higher quotas
  • Lower costs at scale
  • Newest hardware access first
  • Priority support
View Full Plans & Pricing on Fireworks AI

Official pricing, checkout, and plan upgrades are handled directly on fireworks.ai.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
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Capterra
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Product Hunt
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COMMUNITY COMMENTS

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