Post @onusoz · /2026/08/26 · 02:28 PM View on Qwen 3.8 Flash-Next will have to be quantized down to 4 bit precision or lower in order to fit a DGX Spark and leave some leeway Excited to see the performance on the Spark @kimmonismus · Aug 26, 2026 Qwen 3.8 Flash-Next official released: A 6B-active open model just beat Claude Opus 4.6 Max across 8 of 9 comparable benchmarks! Qwen3.8-Flash-Next is a highly sparse MoE: • 125B model parameters • 51B additional n-gram embeddings • Only 6B parameters active per token It scores: • 62.5 SWE-bench Pro • 81.0 SWE-bench Multilingual • 73.9 CoworkBench • 55.7 JobBench • 73.5 Toolathlon • 81.3 IFBench • 91.7 GPQA Diamond • 91.9 LiveCodeBench It also outperforms Qwen3.8-27B and DeepSeek-V4-Flash across most of the table. Super cool release!! Show more Image hidden
@onusoz · /2026/08/26 · 02:28 PM View on Qwen 3.8 Flash-Next will have to be quantized down to 4 bit precision or lower in order to fit a DGX Spark and leave some leeway Excited to see the performance on the Spark @kimmonismus · Aug 26, 2026 Qwen 3.8 Flash-Next official released: A 6B-active open model just beat Claude Opus 4.6 Max across 8 of 9 comparable benchmarks! Qwen3.8-Flash-Next is a highly sparse MoE: • 125B model parameters • 51B additional n-gram embeddings • Only 6B parameters active per token It scores: • 62.5 SWE-bench Pro • 81.0 SWE-bench Multilingual • 73.9 CoworkBench • 55.7 JobBench • 73.5 Toolathlon • 81.3 IFBench • 91.7 GPQA Diamond • 91.9 LiveCodeBench It also outperforms Qwen3.8-27B and DeepSeek-V4-Flash across most of the table. Super cool release!! Show more Image hidden
