Fast inference for open-source AI models
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Reviews onG2
2 reviews tracked·4 press mentionsThe Bottom Line
Entry price
Paid plans only
Biggest pro
No cold starts and automatic scaling across GPU clusters
Biggest con
No free tier beyond the initial $1 credit for new users
TL;DR - Fireworks AI
- Cloud inference platform running 400+ open-source AI models with serverless deployment and no cold starts
- Per-token pricing starts at $0.10 per 1M tokens for small models; on-demand GPUs from $2.90/hour
- Supports fine-tuning with SFT and DPO, plus SOC 2, HIPAA, and GDPR compliance for enterprise use
Pricing: usage_based
Best for: Enterprises & pros
What is Fireworks AI?
Fireworks AI is a cloud inference platform for running open-source generative AI models. It provides serverless API endpoints for 400+ models spanning LLMs, image generation, vision, and audio, with no cold starts or GPU management required. Developers can fine-tune models using supervised learning, preference optimization (DPO), and quantization-aware techniques, then deploy them on shared or dedicated GPU infrastructure. The platform supports on-demand deployments on A100, H100, H200, and B200 GPUs with per-second billing. Fireworks is SOC 2, HIPAA, and GDPR compliant, and offers zero data retention options. Customers like Notion have reported latency reductions from 2 seconds to 350ms after switching to the platform.
Available on: Web
Pros & Cons
Pros
- No cold starts and automatic scaling across GPU clusters
- $1 free credit for new users to test without commitment
- Per-token pricing keeps costs predictable for variable workloads
- Supports latest open-source models including DeepSeek, Qwen, and Llama
- Fine-tuning available directly on the platform without separate tooling
- SOC 2, HIPAA, and GDPR compliance suitable for regulated industries
Cons
- No free tier beyond the initial $1 credit for new users
- Pricing varies significantly by model size and type
- On-demand GPU deployments require minimum hourly spend
- Less suited for teams wanting managed prompt engineering or RAG pipelines
- Smaller community and ecosystem compared to AWS Bedrock or Azure AI
Ratings Across the Web
3.8(2 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Serverless inference for 400+ open-source AI models with no cold startsSupport for LLMs, image generation, vision, and audio modelsModel fine-tuning with SFT, DPO, and quantization-aware trainingOn-demand GPU deployments on A100, H100, H200, and B200 hardwareOpenAI-compatible API for drop-in replacement workflowsCached input token pricing at 50% discount across all text modelsDistributed virtual cloud for global low-latency inferenceSOC 2, HIPAA, and GDPR compliance with zero data retention optionInteractive model playground for testing before integrationSDKs, CLI tools, and REST API for developer integration
Pricing Plans
Serverless
Free
- 400+ models available
- No cold starts or GPU setup
- Cached tokens at 50% discount
- High rate limits
- Postpaid billing
On-Demand Deployments
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- A100 80GB at $2.90/hour
- H100 80GB at $4.00/hour
- H200 141GB at $6.00/hour
- B200 180GB at $9.00/hour
- No charges for startup time
Enterprise
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- Dedicated infrastructure
- Bring-your-own-cloud deployment
- Zero data retention
- Custom SLAs and support
- SOC 2, HIPAA, GDPR compliance
Reviews
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Fireworks AI FAQ
What is Fireworks AI?
Fireworks AI is a cloud inference platform for running open-source generative AI models. It provides serverless API endpoints for over 400 models including LLMs, image generators, vision models, and audio models, with no cold starts or GPU management required.
How much does Fireworks AI cost?
Serverless inference starts at $0.10 per 1M tokens for models under 4B parameters. Larger models cost more: $0.20 for 4B-16B, $0.90 for 16B+. On-demand GPU deployments range from $2.90/hour for A100s to $9.00/hour for B200s. New users receive $1 in free credits.
What models does Fireworks AI support?
Fireworks hosts 400+ models including DeepSeek V3, Qwen, Meta Llama, GLM-4, Kimi K2.5, Gemma 3, FLUX.1 for image generation, and Whisper V3 for audio. New open-source models are typically added within days of release.
Can I fine-tune models on Fireworks AI?
Yes. Fireworks supports supervised fine-tuning (SFT) and direct preference optimization (DPO). Pricing starts at $0.50 per 1M tokens for SFT on models up to 16B parameters, scaling up for larger models. Quantization-aware tuning is also available.
Is Fireworks AI compatible with the OpenAI API?
Yes. Fireworks provides an OpenAI-compatible API, allowing developers to switch from OpenAI by changing the base URL and API key. This makes it straightforward to migrate existing applications or use Fireworks as a fallback provider.
What compliance certifications does Fireworks AI have?
Fireworks AI is SOC 2, HIPAA, and GDPR compliant. It offers zero data retention options for sensitive workloads, and enterprise customers can deploy on their own cloud infrastructure via bring-your-own-cloud arrangements.
Source: fireworks.ai