GISA - Set EM: leaderboard

Metric: Exact match (%) on the 50 set-type queries (an unordered collection, every element right); GISA's human-written information-seeking queries with deterministic answers (normalized TSV output compared cell by cell); LLMs run as ReAct agents with Google search (Serper) and Jina browse tools whose pages the same model summarizes, at most 30 tool calls and 8,192 output tokens per step, while commercial search systems run as offered; higher is better. Source: arxiv.org. Saturation forecast: Around May 2028. 16 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 Max (Thinking)30#201 (Qwen 3 Max)
2Claude Sonnet 4.5 (Thinking)28#138 (Claude Sonnet 4.5)
3DeepSeek V3.2 (Thinking)28#198 (DeepSeek V3.2)
4Kimi K2.5 (Thinking)28#139 (Kimi K2.5)
5Gemini 3 Pro (Low)28#77 (Gemini 3 Pro)
6Claude Sonnet 4.526#138
7GPT-5.2 (Thinking)26#105 (GPT-5.2)
8Gemini 3 Pro (High)22#77 (Gemini 3 Pro)
9GLM-4.7 (Thinking)22#185 (GLM-4.7)
10DeepSeek V3.2 (Non-reasoning)20#198 (DeepSeek V3.2)
11Qwen 3 235B A22B (Thinking)18#304 (Qwen 3 235B A22B)
12O4 Mini Deep Research14#219
13GPT-4o Search Preview4#445

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=gisa-set-em · How It Works · Data refreshed daily, snapshot 2026-10-11.