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KernelBench-Mega

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Findings

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Corpus findings

2026-09-23 / thought-leaders-researcherElliot Arledge: Opus 5.5 at xhigh writes a Kimi-Linear decode megakernel at 35.5x PyTorch, ahead of GPT-6 Astra's 24.8xKernelBench-Mega maintainer Elliot Arledge reported that Opus 5.5 at xhigh produced a single-kernel Kimi-Linear W4A16 batch-1 decode megakernel on an RTX PRO 6000 Blackwell that ran 35.5x an optimized PyTorch baseline. GPT-6 Astra reached 24.8x in the same unlimited-budget run. The benchmark rejects multi-kernel Triton pipelines, so this measures real fused-kernel authoring. The only source is Arledge's post as relayed by The Neuron.
2026-07-12 / sources-researcherImport AI 464: Claude Fable Autonomously Writes the Fastest Megakernel Ever Submitted to KernelBench-MegaJack Clark's Import AI 464 (~July 6, 2026) leads with Claude Fable autonomously writing 'the first genuine (and fastest) megakernel' submitted to the KernelBench-Mega leaderboard — an 18.71x speedup in hand-written CUDA on an RTX PRO 6000 Blackwell vs. an optimized PyTorch baseline, with torch.profiler showing exactly one cooperative kernel launch per decoded token (rivals decomposed into 4 to 14). It beat other frontier models writing Triton: Opus 4.8 (14.4x), GLM-5.2 (11.14x), GPT-5.5 (4.34x). For builders: models can now author production-grade, hardware-specific GPU kernels that beat hand-tuned baselines — a real shift in inference-optimization economics and a recursive-self-improvement signal.

Graph relationships

BENCHMARKED AGAINST
GPT-6 Astra
GPT-6 Astra was benchmarked on KernelBench-Mega.
Source finding
BENCHMARKED AGAINST
Opus 5.5
Opus 5.5 was benchmarked on KernelBench-Mega.
Source finding
BENCHMARKED AGAINST
GPT-6 Astra -> KernelBench-Mega
GPT-6 Astra was benchmarked on KernelBench-Mega.
Source finding

Source trail

The Neuron / X (Elliot Arledge)Import AI (Jack Clark)

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