📖 The AI Tool Bible

Flux vs Together AI

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Flux
Image Generation
Together AI
Fine-tuning
TaglineBlack Forest Labs' open-weights image model — rivals Midjourney quality.Fine-tune & serve open-weight models (Llama, Mistral, DeepSeek).
CategoryImage GenerationFine-tuning
PricingFreemium· API per-image; weights free for [schnell] and [dev]Paid· Pay-per-token; fine-tuning per-token
ModelFlux.1 [schnell / dev / pro]Llama / Mistral / Qwen / DeepSeek and others
Editorial score9.0 / 108.6 / 10
Use cases
open sourceself-hostedhigh quality
open modelsfine-tuninginference
Pros
  • Open weights for [schnell]/[dev] variants
  • Quality rivals Midjourney
  • Excellent prompt adherence
  • Self-hostable
  • Wide open-model catalogue
  • Competitive inference pricing
  • Fine-tune + serve in one place
  • Dedicated endpoints for production
Cons
  • [pro] is API-only
  • Self-hosting needs serious GPU
  • Latency varies by model
  • Less polish than OpenAI
Websiteblackforestlabs.aiwww.together.ai
Pick Flux if
  • ✅ Open weights for [schnell]/[dev] variants
  • ✅ Quality rivals Midjourney
  • ✅ Excellent prompt adherence
  • ✅ Self-hostable
Pick Together AI if
  • ✅ Wide open-model catalogue
  • ✅ Competitive inference pricing
  • ✅ Fine-tune + serve in one place
  • ✅ Dedicated endpoints for production
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