Black Forest Labs
FLUX.2 DevAperto
Open-weight FLUX.2 tier for self-hosting, fine-tuning and LoRA workflows.
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)
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 APIcurl -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
}'import os, requests
resp = requests.post(
"https://api.bfl.ml/v1/flux-2-dev",
headers={"x-key": os.environ["BFL_API_KEY"]},
json={
"prompt": "Isometric render of a neon data center, sharp typography",
"width": 1024,
"height": 1024,
},
)
print(resp.json()["polling_url"]) # poll until status == "Ready"const res = await fetch("https://api.bfl.ml/v1/flux-2-dev", {
method: "POST",
headers: { "x-key": process.env.BFL_API_KEY, "Content-Type": "application/json" },
body: JSON.stringify({
prompt: "Isometric render of a neon data center, sharp typography",
width: 1024,
height: 1024,
}),
});
console.log((await res.json()).polling_url); // poll until status === "Ready"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
Punteggi per Fonte
Punteggi per Categoria
Risultati dei Benchmark
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
Loading badge markdown...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}
}Incorpora il badge del punteggio
Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.
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Modelli alternativi
Migliori alternative a FLUX.2 Dev in base a capacità, prezzi e benchmark.