llamaperf

Qwen3.8 125B (6B active) Flash-Next

on NVIDIA DGX Spark · vLLM

Tone: positiveNVIDIA hardware
Oct 8, 2026
Throughput
30.0 t/s gen
Quant
NVFP4 (NVFP4)
System RAM
121 GB

Use cases

codingagenticlong-contextsummarization

Summary

User benchmarks Qwen3.8-Flash-Next on a DGX Spark (GB10, 121 GB unified memory) against Claude Opus 5.5 across 21 graded coding tasks. Local model matches Opus on 11 everyday tasks (11/11 each) but is roughly 5-8x slower, and scores 7/10 on hard tasks versus Opus's 10/10. Setup is vLLM 0.30 with NVFP4 weights and MTP speculative decoding, about 30 tok/s on long generations. Harnesses tested were a minimal 3-tool loop, Claude Code 2.1.285, and Qwen Code 0.24.7. User notes the failure mode was over-verification rather than inability, and that harness choice moved the hard-tier score as much as settings did. A real-world test built a 150-line spec wedding microsite in 88 minutes, about 5.4k lines across 30 files.