Black Forest Labs

FLUX.2 DevOpen

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

#15released Oct 14, 2026·Open Weights·32B
textimage128K ctx
Intelligence
90.4 #15
AAQI 90.0
Output Speed
28 t/s
ITL 35.7 ms/tok
Blended price (3:1)
$0.03 /1M
In $0.03/M · Out $0.03/M
Context
128K
≈ 320 A4 pages · max out 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)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • 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

Trade-offs to watch

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

Killer Use Cases

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.

Developer Quickstart & API

Set BFL_API_KEY first — get an API key
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.

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Head-to-head Live Matchups

Live Specs & Architecture

Under the hood
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
Release date
Oct 14, 2026
Architecture
FLUX.2 Dev — 32B open rectified-flow transformer
Parameters
32B
License
Open Weights
Context Window
128,000 tokens
Max Output
4,096 tokens
Modalities
text + image
Cache Pricing
read $0.01 · write $0.03 /1M
Reasoning
—
Input Price
$0.03/M
Output Price
$0.03/M
Output Speed
28 t/s
Time to First Token
—
Data Updated
Oct 22, 2026
Hardware & Local Inference
Data: Convly AI (CC BY 4.0) ↗
VRAM (4-bit Q4)
20 GB
Min GPU
RTX 4090 24GB / RTX 5090 32GB

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
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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}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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FLUX.2 Dev LLMPodium Score
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