Black Forest Labs

FLUX.2 Klein 9BOpen

9B FLUX.2 klein tier — near-Pro quality on a single consumer GPU.

#28released Oct 14, 2026·Open Weights·9B
textimage64K ctx
Intelligence
88.2 #28
AAQI 88.0
Output Speed
55 t/s
ITL 18.2 ms/tok
Blended price (3:1)
$0.02 /1M
In $0.02/M · Out $0.02/M
Context
64K
≈ 160 A4 pages · max out 4,096

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

FLUX.2 Klein 9B
Claude Mythos Preview (#1)
Average (68)
Coding (15)Mathematics (15)Hard Science (GPQA) (32)Agentic & Tool Use (22)Knowledge (MMLU) (50)Vision / Multimodal (94)

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

Strengths & Trade-offs

Where it wins

  • Best quality-per-GB in the FLUX.2 family
  • Runs on RTX 3060-class hardware
  • Open weights — fine-tune and self-host freely

Trade-offs to watch

  • Still trails Dev/Pro on typography and faces
  • Half the speed of the 4B klein tier
  • 2K output ceiling

Killer Use Cases

Hobbyist & indie pipelines
Pro-adjacent images on consumer cards.
Fine-tuned niche styles
Small enough to iterate LoRAs overnight.
Local production tools
Self-hosted rendering for studios and agencies.

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-9b",
    "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 9B — consumer-GPU diffusion
  • 9B distilled transformer — the klein quality tier
  • Fits 8GB VRAM at Q4
  • Near-Pro prompt adherence on standard scenes
  • Full LoRA fine-tuning support
Release date
Oct 14, 2026
Architecture
FLUX.2 Klein 9B — consumer-GPU diffusion
Parameters
9B
License
Open Weights
Context Window
64,000 tokens
Max Output
4,096 tokens
Modalities
text + image
Cache Pricing
read $0.008 · write $0.025 /1M
Reasoning
—
Input Price
$0.02/M
Output Price
$0.02/M
Output Speed
55 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)
6 GB
Min GPU
RTX 3060 8GB / any 8GB 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{llmpodium2026flux2klein9b,
  title = {Benchmark Analysis and Intelligence Evaluation of FLUX.2 Klein 9B},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/flux-2-klein-9b}
}

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 Klein 9B LLMPodium Score
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