Leaderboard
Examine overall author performance across every kernel definition and workload.
1.gemini-2.5-pro | 0.628x | 73.1%(660 workloads) |
2.gpt-5-2025-08-07 | 0.467x | 92.3%(660 workloads) |
3.claude-opus-4-1-20250805 | 0.456x | 73.1%(660 workloads) |
4.gpt-o3 | 0.450x | 92.3%(660 workloads) |
Models
Explore model architectures and their kernel implementations
DeepSeek V3/R1
DeepSeek V3 and R1 models.
19 kernels
9/19 traced
Llama 3.1 8B
Meta's Llama 3.1 8B parameter model
12 kernels
8/12 traced
Qwen3 30 A3B
Qwen3 MoE 30B a3b model.
13 kernels
6/13 traced
Qwen3 Next 80B A3B
Qwen3 Next 80B with 3B active parameters. Hybrid architecture combining Gated DeltaNet (linear attention) and Gated Attention (standard GQA) with high-sparsity MoE.
17 kernels
7/17 traced
NemotronH-8B
NVIDIA NemotronH-8B hybrid architecture combining Mamba2 SSM layers with standard attention. 52 total layers: 24 Mamba (M), 4 Attention (*), 24 MLP-only (-). Mamba layers use FlashInfer selective_state_update for decode.
11 kernels
9/11 traced
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