BALSAM - Sequence Tagging: leaderboard
Metric: Overall score (0-100, LLM-judged generation and multiple choice). Source: benchmarks.ksaa.gov.sa. 28 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) | 49.14 |
| 2 | GLM-4.7 (Reasoning) | 46.49 |
| 3 | GLM-5 (Thinking) | 45.82 |
| 4 | GPT-5.2 | 44.5 |
| 5 | Grok 4.1 Fast (Reasoning) | 40.83 |
| 6 | Claude Opus 4.5 | 40.83 |
| 7 | DeepSeek V3.2 | 40.2 |
| 8 | MiniMax M3 (Reasoning) | 40.04 |
| 9 | AceGPT-v2-8B-Chat | 38.42 |
| 10 | Fanar-C-2-27B | 37.11 |
| 11 | Kimi K2 Instruct (0905) | 36.75 |
| 12 | Command-R+ | 36.43 |
| 13 | Command A 03 2025 | 36.13 |
| 14 | c4ai-aya-expanse-32B | 35.29 |
| 15 | Qwen 3 235B A22B | 35.08 |
Interactive version: theaggregate.ai/benchmark?slug=balsam-sequence-tagging · How It Works · Data refreshed daily, snapshot 2026-09-19.