Black Forest Labs

FLUX.2 DevAperto

Open-weight FLUX.2 tier for self-hosting, fine-tuning and LoRA workflows.

#15rilasciato il 14 ott 2026·Open Weights·32B
textimage128K ctx
Provider APIEsegui modello →vs FLUX.2 ProClassifica
Intelligenza
90.4 #15
AAQI 90.0
Velocità Uscita
28 t/s
ITL 35.7 ms/tok
Prezzo combinato (3:1)
$0.03 /1M
Input $0.03/M · Output $0.03/M
Contesto
128K
≈ 320 pagine A4 · output max 4,096

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

FLUX.2 Dev
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (42)Agentic & Tool Use (28)Knowledge (MMLU) (60)Vision / Multimodal (98.5)

Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.

Punti di forza e compromessi

Dove vince

  • Near-Pro image quality you can self-host
  • Fits an RTX 4090 at Q4 — no datacenter needed
  • Thriving LoRA/fine-tune ecosystem
  • ~3× cheaper than Pro on hosted APIs

A cosa fare attenzione

  • Slightly below Pro on hard prompts
  • Non-commercial terms on some deployments
  • No 4K output in the open checkpoint

Casi d'uso killer

Self-hosted generation
Own the image stack — no per-image API fees.
Fine-tuned brand styles
LoRA adapters for house styles and characters.
Offline pipelines
Air-gapped rendering for sensitive assets.

Quickstart per sviluppatori e API

Imposta prima BFL_API_KEY — ottieni una chiave API
curl -X POST "https://api.bfl.ml/v1/flux-2-dev" \
  -H "x-key: $BFL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Isometric render of a neon data center, sharp typography",
    "width": 1024,
    "height": 1024
  }'

Async image API — the response returns a polling_url; poll it until status is Ready.

Risorse e link ufficiali

Deployment API

Confronta host e latenza

Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Vedi matrice provider →

Punteggi per Fonte

Scontri diretti live

Specifiche live e architettura

Sotto il cofano
FLUX.2 Dev — 32B open rectified-flow transformer
  • Same architecture as Pro, released under open weights
  • Runs on a single 24GB GPU at Q4
  • LoRA / DreamBooth fine-tuning supported
  • Non-commercial-friendly open license
Data di Rilascio
14 ott 2026
Architettura
FLUX.2 Dev — 32B open rectified-flow transformer
Parametri
32B
Licenza
Open Weights
Finestra di Contesto
128,000 tokens
Output max
4,096 tokens
Modalità
text + image
Prezzi cache
lettura $0.01 · scrittura $0.03 /1M
Ragionamento
—
Prezzo Ingresso
$0.03/M
Prezzo Uscita
$0.03/M
Velocità Uscita
28 t/s
Tempo al Primo Token
—
Dati aggiornati
22 ott 2026
Hardware e inferenza locale
Dati: Convly AI (CC BY 4.0) ↗
VRAM (4-bit Q4)
20 GB
GPU min.
RTX 4090 24GB / RTX 5090 32GB

Stima bolletta mensile

Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…

Cita e incorpora

Badge Markdown GitHub
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BibTeX
@misc{llmpodium2026flux2dev,
  title = {Benchmark Analysis and Intelligence Evaluation of FLUX.2 Dev},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/flux-2-dev}
}

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Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.

Anteprima
FLUX.2 Dev LLMPodium Score
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