Tool overview
Fireworks AI is listed under AI Models & Platforms AI tools.
What is Fireworks AI?
Fireworks AI provides serverless inference, dedicated GPU deployments, supervised and reinforcement fine-tuning, embeddings, reranking, batch inference, and OpenAI-compatible APIs for text, vision, audio, image, and embedding models. Enterprise options include higher limits and customer-controlled clusters.
Best for
AI engineering teams serving and fine-tuning open models at production scale
Who is it for?
Decision note
Accepted for Preview after independent V411 official-source research. Apply only after failures = 0, warnings = 0, unmapped = 0, and review of controlled fields, Arabic v2 parity, outreach, affiliate status, logo QA, rebrand handling, and explicit clears.
Key features
Serverless per-token inference
Dedicated GPU deployments and autoscaling
Supervised and reinforcement fine-tuning
OpenAI-compatible API and batch inference
Use cases
Serving open models in production
Fine-tuning models on proprietary data
Running embeddings and reranking
Scaling agent and multimodal workloads
Pros
- Detailed usage pricing
- More than one hundred supported models
- Multiple serving and training paths
Limitations
Performance and cost depend on model, tier, hardware, traffic, prompt length, caching, and tuning. Teams should benchmark representative workloads, protect keys, set quotas, review model licenses, validate data retention, and monitor output safety and reliability.
Pricing details
Billing options
Pricing note
Fireworks uses usage-based pricing. Published embeddings begin at $0.008 per one million input tokens, while text, vision, training, and dedicated GPUs use separate rates. New accounts receive $1 in credits; that credit is neither an ongoing free plan nor a time-limited subscription trial.
Supported languages
- English
Integrations
OpenAI-compatible API
Microsoft Foundry
Claude Code
Cursor
VS Code
MLOps tools
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