Black Forest Labs

FLUX.2 Klein 4BOpen

Compact 4B FLUX.2 distilled for on-device and edge image generation.

#38released Oct 14, 2026·Open Weights·4B
textimage32K ctx
Intelligence
86.5 #38
AAQI 87.0
Output Speed
90 t/s
ITL 11.1 ms/tok
Blended price (3:1)
$0.01 /1M
In $0.01/M · Out $0.01/M
Context
32K
≈ 80 A4 pages · max out 4,096

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

FLUX.2 Klein 4B
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (25)Agentic & Tool Use (18)Knowledge (MMLU) (42)Vision / Multimodal (90)

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

Strengths & Trade-offs

Where it wins

  • Runs fully on-device — no network, no fees
  • ~6GB VRAM at Q4 — fits entry GPUs
  • Fastest FLUX.2 tier at 90 img/s-class throughput

Trade-offs to watch

  • Noticeably below Pro on fine detail and text
  • Low-resolution ceiling vs. 32B tiers
  • Struggles with long, complex prompts

Killer Use Cases

On-device apps
Offline image generation inside mobile/desktop apps.
Edge & IoT rendering
Local synthesis on embedded hardware.
Drafting loops
Cheap instant previews before a Pro render.

Developer Quickstart & API

Set HF_TOKEN first — get an API key
curl https://router.huggingface.co/v1/chat/completions \
  -H "Authorization: Bearer $HF_TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "model": "black-forest-labs/FLUX.2-klein-4b",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

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 Klein 4B — distilled on-device diffusion
  • 4B distilled transformer — runs on phones and laptops
  • Sub-second generation at 512–1024px
  • Same prompt interface as Pro/Dev tiers
  • Weights optimized for 6GB memory footprints
Release date
Oct 14, 2026
Architecture
FLUX.2 Klein 4B — distilled on-device diffusion
Parameters
4B
License
Open Weights
Context Window
32,000 tokens
Max Output
4,096 tokens
Modalities
text + image
Cache Pricing
read $0.004 · write $0.0125 /1M
Reasoning
—
Input Price
$0.01/M
Output Price
$0.01/M
Output Speed
90 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)
3 GB
Min GPU
Any 6GB GPU

Estimated monthly bill

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

Cite & embed

GitHub Markdown badge
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BibTeX
@misc{llmpodium2026flux2klein4b,
  title = {Benchmark Analysis and Intelligence Evaluation of FLUX.2 Klein 4B},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/flux-2-klein-4b}
}

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 Klein 4B LLMPodium Score
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