Black Forest Labs
FLUX 2 Klein 9B
Open weightopen-weightBlack Forest Labs' 9B FLUX.2 Klein for sub-second image generation with 4 inference steps. Matches models 5x its size in quality. Requires ~29GB VRAM (RTX 4090+).
Capability profile
Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.
Benchmark summary
Defines the Pareto frontier for quality vs latency across text-to-image and multi-reference generation.
No benchmark series is attached to this model yet. Source links and product metadata are available below.
Strengths
- • Sub-second generation
- • 4 inference steps
- • Multi-reference editing
- • Strong quality vs speed tradeoff
Trade-offs
- • Non-commercial license
- • Requires 29GB+ VRAM
Crawlable benchmark analysis
FLUX 2 Klein 9B is positioned as an image generation model with published scores that emphasize its practical fit for buyers evaluating the entry.
Published scores highlight reasoning 18/100, coding 5/100, enterprise readiness 58/100, vision 90/100, speed 92/100, and safety 66/100.
Pricing is not fully published for this entry. With a context window of 512 tokens, it supports large-document analysis and retrieval workflows.
Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.
Sources
Provider and distribution links used to verify this model record.
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