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Rankings

LLM Leaderboard

Real measurements of every tested language model on real, named hardware – rated by raw speed (performance in tokens per second, prefill and time to first token) and by practical task quality in complete agent and chat runs (harness). Pick a benchmark type below or filter by model, maker and hardware to see exactly what is tested and how the results are produced.

⚡ Performance (tok/s)🤖 Harness quality👥 Concurrency🖥️ real hardware
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Metric:
#Model / MakerMetricsParallelGPU / CPU / RAMRuntime
1glm-4.7-flashZ.ai (Zhipu) Performance benchmarkTimebench 3 - Kombi (Prefill + Generation)
48,92 tok/s TG
Prefill 4.055 · TTFT 536 ms
1×NVIDIA GB10 (DGX Spark)NVIDIA Grace · 120 GB RAMvLLMgodclawAWQ