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Leaderboard · LMArena

Local LLM chat leaderboard

LMArena uses blind, head-to-head human votes to measure chat preferences. This board shows the scores recorded for tracked models. Ratings depend on the evaluated model pool and snapshot, so they are not a fixed measure of capability.

Benchmark verification dates are not yet recorded. The model-size refresh does not recheck scores; consult the source leaderboard for current results. Hardware fit below is estimated at Q4_K_M and does not establish the same benchmark performance.

16 models · ranked by LMArena runs on
  1. 1 1383 Qwen3 30B-A3B 30.5B MoE
  2. 2 1366 Gemma 3 27B 27B
  3. 3 1357 Mistral Small 3 24B 24B
  4. 4 1347 Qwen3 32B 32B
  5. 5 1342 Gemma 3 12B 12B
  6. 6 1318 Llama 3.3 70B 70B
  7. 7 1303 Gemma 3 4B 4B
  8. 8 1303 Qwen2.5 72B 72B
  9. 9 1289 Gemma 2 27B 27B
  10. 10 1266 Gemma 2 9B 9B
  11. 11 1256 Phi-4 14B 14B
  12. 12 1211 Llama 3.1 8B 8B
  13. 13 1166 Llama 3.2 3B 3B
  14. 14 1149 Mistral 7B 7B
  15. 15 1114 SmolLM2 1.7B 1.7B
  16. 16 1110 Llama 3.2 1B 1B

Score is LMArena (human-preference elo from lmarena's blind head-to-head votes.), sourced from lmarena.ai/leaderboard. The "runs on" column is the lightest tracked device that runs the model at Q4_K_M; tap a model for the full hardware list. Coverage is partial: only models we verified against the canonical board appear.

Other boards

Local LLM coding leaderboard Percent of 225 Exercism exercises solved across six languages. Local LLM tool-use leaderboard Recorded overall accuracy on the Berkeley Function-Calling Leaderboard.

Or pick by what you need with use-case picks, or browse the full model list.

FAQ

Which tracked model has the highest recorded chat score?

Qwen3 30B-A3B leads our partial catalog at 1383 on LMArena. This does not establish the current overall leader. It needs ~20.7 GB at Q4_K_M, so the lightest hardware that runs it is Apple M5 (32GB). The hardware figure is an estimate, not a measured benchmark run on that device.

How is this chat (elo) leaderboard scored?

LMArena uses blind, head-to-head human votes to measure chat preferences. This board shows the scores recorded for tracked models. Ratings depend on the evaluated model pool and snapshot, so they are not a fixed measure of capability. We only list a model after verifying its score against the canonical leaderboard for that exact model, so coverage is partial by design. Source: lmarena.ai/leaderboard.

Can I run these models locally?

Every row shows the lightest tracked device that runs the model at Q4_K_M and links to the full hardware list, so you see the ranking and your hardware fit together.

Benchmark scores come from lmarena.ai/leaderboard and describe its evaluation setup. Memory-data refresh: 2026-09-14; this is not a benchmark verification date. See methodology.