A diagram understanding benchmark focused on scientific and educational visual question answering.
As of March 2026, Qwen3.6 Plus leads the AI2D_TEST leaderboard with 94.4% , followed by Gemini 3 Pro (94.1%) and Qwen3.5 397B (93.9%).
Qwen3.6 Plus
Alibaba
Gemini 3 Pro
Qwen3.5 397B
Alibaba
According to BenchLM.ai, Qwen3.6 Plus leads the AI2D_TEST benchmark with a score of 94.4%, followed by Gemini 3 Pro (94.1%) and Qwen3.5 397B (93.9%). The top models are clustered within 0.5 points, suggesting this benchmark is nearing saturation for frontier models.
6 models have been evaluated on AI2D_TEST. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. AI2D_TEST is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Diagram understanding
Format
Diagram-grounded QA
Difficulty
Structured visual reasoning
AI2D-style tasks matter because diagrams compress structure differently from photos or office documents. They test whether a model can parse arrows, labels, and spatial relations in technical illustrations.
Qwen3.6 launch benchmarksVersion
AI2D_TEST 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A diagram understanding benchmark focused on scientific and educational visual question answering.
Qwen3.6 Plus by Alibaba currently leads with a score of 94.4% on AI2D_TEST.
6 AI models have been evaluated on AI2D_TEST on BenchLM.
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