LMArena Text Elo leaderboard
21 models have a published score. Gemini 4 Argon (Google) leads with 1520, and the spread to the lowest score, Claude Haiku 5.5 at 1425, is 95 Elo points. The best open-weight result, Kimi K3 at 1488, trails the best closed model, Gemini 4 Argon, by 32. The highest-scoring model you can deploy on OpenLLM Buddy is Kimi K3, ranked 5 of 21 with 1488. Sources report different settings for this test, such as test year, version, or reasoning effort. Each setting is listed in the source table, so compare close scores with care.
LMArena Text Elo scores
Elo rating. A 100-point gap means the higher model wins roughly 64% of head-to-head votes.
- OpenLLM Buddy catalog
- Open weights
- Closed API
- 1Gemini 4 ArgonLMArena Text, Overall; snapshot Oct 27, 2026; Gemini 4 Argon (High); +/-61520
- 2Claude Opus 5.5LMArena Text, Overall; snapshot Oct 27, 2026; Claude Opus 5.5 (High); +/-71509
- 3Claude Fable 5.1LMArena Text, Overall; snapshot Oct 27, 2026; Claude Fable 5.1 (Max); +/-61504
- 4Gemini 3.8 FlashLMArena Text, Overall; snapshot Oct 27, 2026; Gemini 3.8 Flash (High); +/-41496
- 5Kimi K3LMArena text overall, 'Kimi K3 (Max)', ±4, as of 2026-10-271488
- 6GLM 5.3GLM-5.3 (Max), ±5, board dated 2026-10-271481
- 7GPT-6.1 SolLMArena Text, Overall; snapshot Oct 27, 2026; GPT-6.1 Sol (Max); +/-71481
- 8MiMo V2.6 ProLMArena text overall, 'MiMo-V2.6-Pro', ±9, as of 2026-10-271480
- 9Claude Sonnet 5.5LMArena Text, Overall; snapshot Oct 27, 2026; Claude Sonnet 5.5 (xHigh); +/-71477
- 10GLM 5.3 FlashLMArena text overall, 'GLM-5.3-Flash', ±5, as of 2026-10-271477
- 11DeepSeek V4.1 FlashLMArena text overall, 'DeepSeek-V4.1-Flash-20260910 (Max)', ±6, as of 2026-10-271476
- 12GPT-6 AstraLMArena Text, Overall; snapshot Oct 27, 2026; GPT-6 Astra (Max); +/-61476
- 13DeepSeek V4 ProDeepSeek-V4-Pro (High, 20260813), ±7, board dated 2026-10-271465
- 14Gemma 4 31BLMArena text overall, 'Gemma 4 31B', ±7, as of 2026-10-271452
- 15Step 5 PreviewStep 5 Preview, ±6, board dated 2026-10-271448
- 16Grok 4.7LMArena Text, Overall; snapshot Oct 27, 2026; Grok 4.7 (xHigh); +/-61441
- 17Gemma 4 26B A4BLMArena text overall, 'Gemma 4 26B A4B', ±7, as of 2026-10-271438
- 18Qwen3.8 27BLMArena text overall, 'Qwen3.8-27B', ±5, as of 2026-10-271436
- 19Reflection Beam 1.0Beam 1.0 501B A23B, ±9, board dated 2026-10-271436
- 20Nemotron 3 UltraNVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4), ±7, board dated 2026-10-271427
- 21Claude Haiku 5.5LMArena Text, Overall; snapshot Oct 27, 2026; Claude Haiku 5.5 (High); +/-71425
What it measures
Visitors chat with two anonymous models and vote for the better answer; votes are turned into an Elo-style rating. It reflects style and helpfulness as much as correctness.
How it is scored
Elo rating. A 100-point gap means the higher model wins roughly 64% of head-to-head votes.
Why it matters
It captures how people experience a model in open-ended conversation, which fixed tests miss.
Official benchmark pageSources
| Model | Test | Score | Setting | Source |
|---|---|---|---|---|
| Gemini 4 Argon | LMArena Text Elo | 1520 | LMArena Text, Overall; snapshot Oct 27, 2026; Gemini 4 Argon (High); +/-6 | LMArena (arena.ai) Text leaderboard |
| Claude Opus 5.5 | LMArena Text Elo | 1509 | LMArena Text, Overall; snapshot Oct 27, 2026; Claude Opus 5.5 (High); +/-7 | LMArena (arena.ai) Text leaderboard |
| Claude Fable 5.1 | LMArena Text Elo | 1504 | LMArena Text, Overall; snapshot Oct 27, 2026; Claude Fable 5.1 (Max); +/-6 | LMArena (arena.ai) Text leaderboard |
| Gemini 3.8 Flash | LMArena Text Elo | 1496 | LMArena Text, Overall; snapshot Oct 27, 2026; Gemini 3.8 Flash (High); +/-4 | LMArena (arena.ai) Text leaderboard |
| Kimi K3 | LMArena Text Elo | 1488 | LMArena text overall, 'Kimi K3 (Max)', ±4, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| GLM 5.3 | LMArena Text Elo | 1481 | GLM-5.3 (Max), ±5, board dated 2026-10-27 | LMArena (arena.ai) text leaderboard |
| GPT-6.1 Sol | LMArena Text Elo | 1481 | LMArena Text, Overall; snapshot Oct 27, 2026; GPT-6.1 Sol (Max); +/-7 | LMArena (arena.ai) Text leaderboard |
| MiMo V2.6 Pro | LMArena Text Elo | 1480 | LMArena text overall, 'MiMo-V2.6-Pro', ±9, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| Claude Sonnet 5.5 | LMArena Text Elo | 1477 | LMArena Text, Overall; snapshot Oct 27, 2026; Claude Sonnet 5.5 (xHigh); +/-7 | LMArena (arena.ai) Text leaderboard |
| GLM 5.3 Flash | LMArena Text Elo | 1477 | LMArena text overall, 'GLM-5.3-Flash', ±5, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| DeepSeek V4.1 Flash | LMArena Text Elo | 1476 | LMArena text overall, 'DeepSeek-V4.1-Flash-20260910 (Max)', ±6, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| GPT-6 Astra | LMArena Text Elo | 1476 | LMArena Text, Overall; snapshot Oct 27, 2026; GPT-6 Astra (Max); +/-6 | LMArena (arena.ai) Text leaderboard |
| DeepSeek V4 Pro | LMArena Text Elo | 1465 | DeepSeek-V4-Pro (High, 20260813), ±7, board dated 2026-10-27 | LMArena (arena.ai) text leaderboard |
| Gemma 4 31B | LMArena Text Elo | 1452 | LMArena text overall, 'Gemma 4 31B', ±7, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| Step 5 Preview | LMArena Text Elo | 1448 | Step 5 Preview, ±6, board dated 2026-10-27 | LMArena (arena.ai) text leaderboard |
| Grok 4.7 | LMArena Text Elo | 1441 | LMArena Text, Overall; snapshot Oct 27, 2026; Grok 4.7 (xHigh); +/-6 | LMArena (arena.ai) Text leaderboard |
| Gemma 4 26B A4B | LMArena Text Elo | 1438 | LMArena text overall, 'Gemma 4 26B A4B', ±7, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| Qwen3.8 27B | LMArena Text Elo | 1436 | LMArena text overall, 'Qwen3.8-27B', ±5, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| Reflection Beam 1.0 | LMArena Text Elo | 1436 | Beam 1.0 501B A23B, ±9, board dated 2026-10-27 | LMArena (arena.ai) text leaderboard |
| Nemotron 3 Ultra | LMArena Text Elo | 1427 | NVIDIA-Nemotron-3-Ultra-550B-A55B (NVFP4), ±7, board dated 2026-10-27 | LMArena (arena.ai) text leaderboard |
| Claude Haiku 5.5 | LMArena Text Elo | 1425 | LMArena Text, Overall; snapshot Oct 27, 2026; Claude Haiku 5.5 (High); +/-7 | LMArena (arena.ai) Text leaderboard |
Scores are published results from model cards, lab reports, and public leaderboards, each linked to its source. Settings such as thinking mode or test version differ between sources and are shown next to each score. OpenLLM Buddy catalog models are uncensored fine-tunes; their scores are those of the official base model. Data collected 2026-10-30. How the index works