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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 | GPU / CPU / RAM | Runtime | ||
|---|---|---|---|---|---|---|
| 1 | Jev-1.13.0TypeSafe AI Harness benchmarkDecision-Benchmark V 1.0 | 200 Pkt 100,0% · 200/200 Aufg. · 51,8 s | Cloud/API: TypeSafe AI (Hardware unbekannt) i | apipython | Details → | |
| 2 | Jev-1.13.0TypeSafe AI Harness benchmarkDecision-Benchmark High V 1.0 | 114 Pkt 57,0% · 114/200 Aufg. · 51,2 s | Cloud/API: TypeSafe AI (Hardware unbekannt) i | apipython | Details → |