Hardware Corner Mar-2026: nvidia-rtx-3090 llama.cpp Qwen3 30B A3B Q4_K GGUF token generation 113.8 tok/s at 16k context
113.8 tok/s per-request decode (batch 1, ~16384-token context tier)
Fields
id
benchmarks/hwc26-rtx-3090-qwen3-30b-a3b-q4k-tg-16kMetric
decode_tok_s
Value
113.8
Unit
tok/s per-request decode (batch 1, ~16384-token context tier)
Model
Qwen3 30B A3B Q4_K GGUF
Methodology
THIRD-PARTY MEASURED (hardware-corner.net /gpu-llm-benchmarks/rtx-3090/, page updated March 2026, accessed 2026-10-16). llama.cpp llama-bench, GGUF, single GPU, full offload. The page publishes prompt-processing tok/s and token-generation tok/s by context tier; it does not state the llama.cpp build, the prompt length, or the generation length. The page annotates this model row CUDA, -fa 1 (flash attention on). Value is the 16k context column. Per-request batch-1, NOT aggregate across concurrent requests.
Measured by
third_party
Reproducible
yes
notes
Context tier is the page bucket, not an exact measured token count. Page quant Q4_K maps to gguf-q4-k-m; page MXFP4 maps to gguf-mxfp4-moe. Distinct from the older Q4_K_XL rows sourced from hardware-corner-gpu-ranking-local-llm.
Notes
Context tier is the page bucket, not an exact measured token count. Page quant Q4_K maps to gguf-q4-k-m; page MXFP4 maps to gguf-mxfp4-moe. Distinct from the older Q4_K_XL rows sourced from hardware-corner-gpu-ranking-local-llm.