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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
| # | Model / Maker | Metrics | Parallel | GPU / CPU / RAM | Runtime | ||
|---|---|---|---|---|---|---|---|
| 1 | SmolLM2-1.7B-Instruct1.7BHuggingFaceTB Performance benchmarkTimebench 3 - Kombi (Prefill + Generation) | 54,97 tok/s TG Prefill 2.966 · TTFT 1.194 ms | 1× | Keine GPU (CPU-only)Apple M6 (unified CPU/GPU SoC) · 24 GB RAM | Ollamaopenclaw_cliQ8_0 | Details → |