ASI-Bench (Claude Code): leaderboard

ASI-Bench runs 60 project-level research tasks without external tool access (arXiv 2608.17271v1). Overall Scientific Score is the equal-weight mean of prompt bands B1-B4, macro-averaged over tasks and rounds, 0-100, higher is better. Claude Code harness runs only, from the Apexintelligence-AI/ASI-Bench-Leaderboard Space's app/page.tsx; efforts stay in the label, and two runs report one round.

Metric: Scientific Score (0-100). Source: huggingface.co. Saturation forecast: Around 2028. 13 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5 (Max)50.29#16 (Claude Opus 5)
2Gemini 3.8 Flash43.19#30
3GLM-5.3 (Max)41.65#44 (GLM-5.3)
4Qwen 3.8 Max (Max)38.87#34 (Qwen 3.8 Max)
5Claude Opus 4.8 (Max)37.51#39 (Claude Opus 4.8)
6Kimi K3 (Max)37.09#35 (Kimi K3)
7GLM-5.2 (Max)35.59#80 (GLM-5.2)
8GLM-5.3 Flash (Max)33.52#77 (GLM-5.3 Flash)
9DeepSeek V4 Flash (Max)31.9#155 (DeepSeek V4 Flash)
10DeepSeek V4 Pro (Max)24.98#112 (DeepSeek V4 Pro)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=asi-bench-claude-code · How It Works · Data refreshed daily, snapshot 2026-11-05.