Black Forest Labs

FLUX.2 Pro

Black Forest Labs’ flagship image model — SOTA photorealism, typography and multi-reference composition.

#5released Oct 14, 2026·Proprietary·32B
textimage128K ctx
Intelligence
93.8 #5
AAQI 94.0
Output Speed
30 t/s
ITL 33.3 ms/tok
Blended price (3:1)
$0.08 /1M
In $0.08/M · Out $0.08/M
Context
128K
≈ 320 A4 pages · max out 4,096

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

FLUX.2 Pro
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (50)Agentic & Tool Use (32)Knowledge (MMLU) (68)Vision / Multimodal (99.6)

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

Strengths & Trade-offs

Where it wins

  • #1 image-arena tier — SOTA photorealism
  • Sharpest text rendering in the image category
  • Multi-reference consistent composition
  • Production API with predictable per-image pricing

Trade-offs to watch

  • Image-only — no text reasoning or chat
  • Premium per-image price vs. dev/klein tiers
  • Closed weights — no self-hosting

Killer Use Cases

Production ad creative
Typography-accurate campaign assets at scale.
Product photography
Reference-consistent catalog shots.
UI & brand mockups
Screens and layouts with real, legible text.

Developer Quickstart & API

Set BFL_API_KEY first — get an API key
curl -X POST "https://api.bfl.ml/v1/flux-2-pro" \
  -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 Pro — 32B rectified-flow image transformer
  • Top FLUX.2 serving tier — maximum prompt fidelity
  • Best-in-class typography and small-text rendering
  • Multi-reference composition for consistent characters/products
  • Output up to 4K with hex-color and material controls
Release date
Oct 14, 2026
Architecture
FLUX.2 Pro — 32B rectified-flow image transformer
Parameters
32B
License
Proprietary
Context Window
128,000 tokens
Max Output
4,096 tokens
Modalities
text + image
Cache Pricing
read $0.02 · write $0.08 /1M
Reasoning
—
Input Price
$0.08/M
Output Price
$0.08/M
Output Speed
30 t/s
Time to First Token
—
Data Updated
Oct 22, 2026

Estimated monthly bill

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

Cite & embed

GitHub Markdown badge
Loading badge markdown...
BibTeX
@misc{llmpodium2026flux2pro,
  title = {Benchmark Analysis and Intelligence Evaluation of FLUX.2 Pro},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/flux-2-pro}
}

Embed Score Badge

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

Preview
FLUX.2 Pro LLMPodium Score
Markdown
Loading badge snippet...
HTML
Loading badge snippet...

More from Black Forest Labs

Alternative Models

Closest alternatives to FLUX.2 Pro based on capabilities, pricing, and benchmark scores.

0 / 4