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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 / MakerMetricsGPU / CPU / RAMRuntime
1Qwen2.5-32B-Instruct-AWQ32BQwen (Alibaba) Harness benchmarkTool Usage V 1.0
235 Pkt
13,4% · 15/15 Aufg. · 1.783,0 s
AMD Radeon 8060S GraphicsAMD RYZEN AI MAX+ 395 w/ Radeon 8060S · 31 GB RAMopenclaw_cli