Fireworks AI vs LLaMA Factory

Fireworks AI

Fine-tuning

LLaMA Factory

Fine-tuning

Tagline

Fireworks AI

Production inference and fine-tuning platform for open-source LLMs, tuned for speed and enterprise economics.

LLaMA Factory

Open-source, no-code WebUI for fine-tuning 100+ open LLMs with LoRA, QLoRA, DPO, and PPO.

Pricing

Fireworks AI

Freemium· Free signup credits; pay-per-token from ~$0.14/M in; enterprise reserved capacity on request

LLaMA Factory

Free· Free, open-source (Apache-2.0); self-hosted

Free trial

Fireworks AI

Yes

LLaMA Factory

Yes

API

Fireworks AI

Yes

LLaMA Factory

Yes

Platforms

Fireworks AI

api

LLaMA Factory

api

Open source

Fireworks AI

Not listed

LLaMA Factory

Yes · Apache-2.0

GitHub stars

Fireworks AI

—

LLaMA Factory

75,193

checked 2026-09-29

Last GitHub push

Fireworks AI

—

LLaMA Factory

2026-09-28

First commit

Fireworks AI

—

LLaMA Factory

2023-05

Company

Fireworks AI

Fireworks AI

LLaMA Factory

—

Model used

Fireworks AI

Multi-model (DeepSeek, Qwen, GLM, Kimi, Gemma, Minimax, others)

LLaMA Factory

Multi-model (LLaMA, Mistral, Qwen, Gemma, Phi, LLaVA, ChatGLM, Yi)

Best for

Fireworks AI

Pick Fireworks AI if you want a managed, OpenAI-compatible endpoint for open-weight LLMs plus a real fine-tuning and multi-LoRA pipeline.

LLaMA Factory

Pick LLaMA Factory if you want one tool to fine-tune any open-weight LLM on your own hardware without writing custom training scripts.

Not for

Fireworks AI

Skip it if you already operate your own vLLM/SGLang GPU fleet or you only need a closed-model API from OpenAI/Anthropic directly.

LLaMA Factory

Skip it if you want a managed, click-to-train cloud service or don't have access to suitable GPUs.

Editorial score

Fireworks AI

7.9 / 10

LLaMA Factory

7.2 / 10

Use cases

Fireworks AI

llm-fine-tuningserverless-inferencemulti-lora-servingcode-assistantsagentic-systems

LLaMA Factory

lora-fine-tuningqloradpo-alignmentinstruction-tuningrlhfvlm-fine-tuning

Pros

Fireworks AI

• OpenAI- and Anthropic-compatible APIs against open-weight models
• Strong fine-tuning + multi-LoRA hosting on a shared base
• Serverless, on-demand, and reserved-capacity tiers cover most load shapes
• Used in production by Cursor, Sourcegraph, Vercel, Notion

LLaMA Factory

• No-code WebUI (LlamaBoard) covers SFT, DPO, PPO, KTO, and reward modeling
• Supports 100+ open models including multimodal VLMs out of the box
• Full QLoRA stack (2-8 bit) plus LoRA+, DoRA, PiSSA variants
• Acceleration via FlashAttention-2, Unsloth, Liger Kernel, vLLM inference
• Exports to GGUF / Ollama and integrates with W&B, MLflow, TensorBoard

Cons

Fireworks AI

• Platform itself is proprietary despite hosting open models
• Per-token pricing can beat DIY GPUs at low volume but not at very high steady load
• Model catalog churns fast; today's best price/perf may not be tomorrow's

LLaMA Factory

• Self-hosted only — you bring the GPUs and the ops
• Rapid release cadence means version pinning is essential
• WebUI abstracts but does not solve VRAM and dataset-formatting pitfalls

Website

Fireworks AI

fireworks.ai

LLaMA Factory

llamafactory.readthedocs.io

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.