Llama 4 Scout 17B 16E Instruct
MetaOpenLlama
Llama 4 Scout 17B 16E Instruct is a vision-language model from Meta. It ranks 129 of 167 on LMArena’s overall vision board with 1118±9 from 6,446 votes. Its best category is Creative writing (#101 of 104). License: Llama.
Key figures
- Developer
- Meta
- License
- Llama
- First seen (our snapshots)
- 2026-10-26
No data: Captioning, Entity recognition.
Who it suits
- Overall #129 of 167: lower half; consider it mainly for cost or deployment reasons.
- Strongest category: Creative writing (#101 of 104).
- Open weights (Llama): you can self-host it.
Neighbours on the overall board
| # | Model | Score | Votes | License | Δ vs this model |
|---|---|---|---|---|---|
| 126 |  Claude 3.5 Sonnet (20241022) Anthropic | 1126 | 10,374 | Proprietary | +8 |
| 127 | SStep-1o Vision 32K (High Res) StepFun | 1122 | 2,833 | Proprietary | +4 |
| 128 | Claude 3.5 Sonnet (20240620) Anthropic | 1120 | 21,624 | Proprietary | +2 |
| 129 | Llama 4 Scout 17B 16E Instruct Meta | 1118 | 6,446 | Llama | |
| 130 |  Qwen2.5-VL-72B-Instruct Alibaba | 1107 | 3,768 | Qwen | -11 |
| 131 |  Gemini 2.0 Flash-Lite Preview (02-05) Google | 1100 | 3,991 | Proprietary | -18 |
| 132 | Claude 3.5 Haiku (20241022) Anthropic | 1093 | 1,398 | Proprietary | -25 |
Alternatives · More from Meta
| # | Model | Score | Votes | License |
|---|---|---|---|---|
| 12 | Muse Spark 1.3 (Max) Meta | 1308 | 5,392 | Proprietary |
| 15 | Muse Spark Meta | 1306 | 5,865 | Proprietary |
| 17 | Muse Spark 1.2 (xHigh) Meta | 1304 | 1,948 | Proprietary |
| 19 | Muse Spark 1.3 (xHigh) Meta | 1302 | 4,897 | Proprietary |
| 26 | Muse Spark 1.1 Meta | 1293 | 12,804 | Proprietary |
Alternatives · Top open-weight models
| # | Model | Score | Votes | License |
|---|---|---|---|---|
| 24 |  GLM-5.3-Flash Z.ai | 1294 | 16,254 | MIT |
| 34 |  Kimi K2.6 Moonshot AI | 1282 | 16,368 | Modified MIT |
| 38 |  DeepSeek-V4.1-Flash-20260910 (Max) DeepSeek | 1278 | 4,100 | MIT |
| 39 | Gemma 4 31B Google | 1276 | 40,219 | Apache 2.0 |
| 44 | Qwen3.8-27B Alibaba | 1269 | 7,614 | Apache 2.0 |
How to read these scores
- If two scores differ by less than their ± intervals, the models are statistically close.
- Each category board is computed independently; do not compare scores across categories.
- Models with few votes move more; ranks of new entries may change.
FAQ
Where does Llama 4 Scout 17B 16E Instruct rank among vision models?
Overall rank 129 (1118); OCR rank 121 (1117); Diagrams rank 120 (1125); Homework rank 115 (1148); Creative writing rank 101 (1126); Humor rank 92 (1102); English rank 126 (1143); Chinese rank 106 (1106) (LMArena, data as of Oct 26, 2026).
How good is Llama 4 Scout 17B 16E Instruct at OCR?
Llama 4 Scout 17B 16E Instruct ranks 121 of 123 on LMArena’s OCR board with 1117 (2,788 votes).
Is Llama 4 Scout 17B 16E Instruct better with Chinese or English prompts?
Chinese board: #106 of 128 (1106); English board: #126 of 167 (1143). The boards are computed separately, so compare ranks rather than scores.
Is Llama 4 Scout 17B 16E Instruct open-weight?
LMArena lists its license as Llama, not proprietary; check the license text for commercial use.
How far is Llama 4 Scout 17B 16E Instruct from #1?
#1 overall is Claude Fable 5 (High) (1325); Llama 4 Scout 17B 16E Instruct has 1118, 207 points behind.
Sources
LMArena data published Oct 19, 2026.
Synced here Oct 26, 2026.
Price, context length and release date have no reliable public data here and are not shown; all figures come from snapshots, blanks are –.