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  1. r/LocalLLaMACommunity

    Eagle-4 speculative decoding method reported faster than DFlash2 and DSpark on Qwen3.8-27B

    A Reddit post shows EAGLE-4 at a 3.59x speedup over vanilla MTP on Qwen 3.8 27B, versus 2.80x for DFlash 2 and 2.57x for DSpark. Only Qwen3.8-27B is supported so far, and llama.cpp and vLLM support is pending.

  2. r/LocalLLaMACommunity

    Community user benchmarks Qwen3.8 Flash-Next and 27B long-context throughput on four Intel B65 GPUs

    Throughput sweeps from 1 to 16 concurrent requests across context lengths up to 200K show Flash-Next W4A16 reaching 84.5 tokens/sec at one request with MTP-3 enabled. Numbers are overall output throughput, not prompt-processing speed, and starred results include queueing.

  3. r/LocalLLaMACommunity

    Six-way benchmark compares Qwen3.8-Flash-Next locally against Claude Opus 5.5 on a Rust feature

    A community test of 12 PRs on a LlamaStash feature found Opus 5.5 averaged 82% against 68% for Claude Code with Flash-Next and 66% for Pi with Flash-Next. Flash-Next ran locally at about 4.16 bpw, so the author paid only electricity, and results are a single developer's unverified experiment.