Fireworks AI
Current- Pricing
- $0.6/M Input • 3/M Output/mo
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Fireworks AI is a frontier inference platform specializing in high-speed, cost-effective deployment and fine-tuning of generative AI models, including Large Language Models (LLMs) and image generation models. Built by the creators of PyTorch, it leverages globally distributed virtual cloud infrastructure running on the latest hardware, optimized for industry-leading throughput and low latency. The platform provides a comprehensive AI model lifecycle management system, allowing developers to run a vast library of pre-optimized open-source models with serverless or on-demand GPU options. It supports advanced tuning techniques like reinforcement learning, quantization-aware tuning, and adaptive speculation to achieve superior quality from open models. For enterprises, Fireworks AI offers robust security, including SOC2, HIPAA, and GDPR compliance, with options for bring-your-own-cloud or managed cloud deployments, ensuring zero data retention and complete data sovereignty. Its core technical stack focuses on performance-engineered inference engines, auto-scaling capabilities, and an API-first approach for seamless integration into existing development workflows.
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Release history
The Build SDK (last version 0.19.20) has been deprecated and replaced by a new Python SDK, starting at version 1.0.0, generated directly from the REST API for improved flexibility and continuous synchronization.
Major platform enhancements include the requirement to call `.apply()` for on-demand or on-demand-lora deployments using the Build SDK, 50% cost reduction for cached prompt tokens on serverless, new LLMs and image generation models like DeepSeek V3.2 and Mistral Large 3 675B Instruct, support for video and audio inputs with multimodal models, AWS S3 integration for training datasets (BYOB), JIT user provisioning for SSO (Enterprise), stop and resume functionality for fine-tuning jobs, web app dataset downloads, and Vision-Language Model (VLM) fine-tuning support with the Qwen 2.5 VL model family.
Fireworks AI is now available on Microsoft Foundry in Public Preview, offering high-performance, low-latency inference for state-of-the-art open models like DeepSeek V3.2 and Kimi K2.5, and enabling users to deploy their own fine-tuned models at production scale within Azure.
Professional, ready-to-use prompts optimized for this tool.
$0.6/M Input • 3/M Output/mo
Kimi K2.5
0.6/M Input • 3/M Output
Deepseek v3.2
0.56/M Input • 1.68/M Output
Whisper V3 Large
0.0015/Audio Minute
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What is Fireworks AI primarily used for?
Fireworks AI is a frontier inference platform designed for rapidly deploying, running, and fine-tuning state-of-the-art open-source Large Language Models (LLMs) and image generation models. It's optimized for blazing-fast inference speeds and cost-efficiency.
What kind of models can I run on Fireworks AI?
You can run a wide range of popular open-source models, including various LLMs (e.g., Deepseek, MiniMax, GLM, Qwen, Gemma) and vision/image models (e.g., Kimi, FLUX.1 Kontext Pro, SDXL), and audio models like Whisper V3 Large. The platform is continuously updated with the latest models.
Does Fireworks AI support fine-tuning of models?
Yes, Fireworks AI offers robust capabilities for fine-tuning open models. It supports advanced tuning techniques such as reinforcement learning, quantization-aware tuning, and adaptive speculation to achieve the highest quality results for your specific use cases at no additional platform cost for deploying your own models.
What are the key performance benefits of using Fireworks AI?
Fireworks AI is optimized for speed, quality, and cost. Customers have reported significant performance gains, including 3x speedups in response time, and latency reductions from 2 seconds down to 350 milliseconds, alongside 50% higher GPU throughput for complex workflows.
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