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Fireworks AI Review 2026 — Fastest Open-Source LLM Inference API

Fireworks AI ospita modelli aperti, ne esegue il fine-tuning e li rende disponibili tramite API serverless e dedicate.

Fireworks AI Review 2026 — Fastest Open-Source LLM Inference API

In inglese

Fireworks AI provides infrastructure for running open models and custom-trained models. Developers can use serverless inference, dedicated GPU deployments, fine-tuning, embeddings, tool calling, and multimodal models through APIs and a developer toolkit.

It is used by teams building coding assistants, conversational systems, agents, search, enterprise RAG, and multimodal applications. Usage is metered by tokens, training tokens, or GPU time; enterprise deployments and some dedicated services require contacting Fireworks.

Features

  • Run open models with serverless inference and no GPU setup
  • Deploy models on dedicated GPUs with per-second billing
  • Fine-tune models with LoRA, DPO, SFT, and reinforcement fine-tuning
  • Serve hundreds of fine-tuned variants using Multi-LoRA
  • Build agents with JSON mode, grammar mode, and tool calling
  • Use text, vision, audio, speech, image, and video models
  • Access OpenAI- and Anthropic-compatible inference APIs

Use cases

  • Build coding assistants and code-generation products
  • Run conversational AI and customer-support systems
  • Create agents that call APIs and retain context
  • Add semantic search and enterprise RAG to applications
  • Fine-tune models on proprietary business data
  • Process images, documents, audio, and video

Pros

    Cons

      Latest updates

      Capabilities

      • Command line — “API, SDK, CLI, console” source
      • Choice of models — “Intelligently orchestrate models for work and applications.” source
      • Self-hosted — “Yes. Fireworks Sovereign brings our serving stack to enterprise infrastructure in your own cloud account or data center.” source
      • No code retained — “Retention depends on the features you use, with controls to manage stored data and enforce zero data retention for supported workloads.” source
      • API — “API, SDK, CLI, console” source
      • Official SDKs — “API, SDK, CLI, console” source
      • Runs models for you — “Serve open and custom models” source
      • Traces and evaluates — “For core workloads that encode your intellectual property, evaluate models against your own benchmarks and train specialized models to outperform general-purpose alternatives on the tasks that matter to your product.” source

      Get it

      Security

      • SOC 2 Type II — “SOC 2 Type 2” source
      • SOC 2 — “SOC 2 Type 2” source
      • ISO 27001 — “ISO 27001 Certificate” source
      • ISO 42001 — “ISO 42001 Certificate” source
      • GDPR — “Compliance SOC 2 Type 2 HIPAA GDPR” source
      • HIPAA — “SOC 2 Type 2 HIPAA” source

      Pricing

      Starting price
      $8/mo
      Prices checked
      2026-11-08

      Serverless

      • From $0.05 / 1M input tokens
      • Pay per token; no commitment
      • Standard, Priority, Fast, Batch and Spot modes
      • Cached input billed at half price or less

      Fireworks Sovereign

      Price on request

      • Fireworks-managed inference in your cloud account or data center
      • Inference and response handling stay inside your boundary
      • Optional overflow to Fireworks-managed capacity

      Managed Training

      • From $0.50 / 1M training tokens
      • No-code, just bring a dataset
      • Launch SFT, DPO or ORPO from the UI, CLI or API
      • Fireworks handles scheduling, training and checkpoints
      • LoRA, or full-parameter on select models

      Dedicated Training API

      • From $8.00 / GPU-hour
      • You run the loop, at full scale
      • Provisioned trainers and deployments
      • Full-parameter training, the largest MoE models, longer context and higher LoRA ranks

      Pro

      • $8 / month
      • The right model for each task
      • Open models included
      • Usage against your plan cap
      • Works with your AI tools

      Team

      • $10 per seat / month
      • Everything in Pro
      • Up to 200 seats
      • Members, seats and billing
      • Higher usage per seat

      Enterprise

      Price on request

      • SSO, SCIM and audit logs
      • Groups and Model Policy
      • Account, user and group limits
      • Custom terms and support
      Official website