Benchmark profile
AI2D test split (AI2D_TEST)
A diagram understanding benchmark focused on scientific and educational visual question answering.
Data verifiedBenchmark score on AI2D_TEST — July 23, 2026
BenchLM mirrors the published score view for AI2D_TEST. Qwen3.6-35B-A3B leads the public snapshot at 92.7% , followed by Nemotron 3 Nano Omni 30B A3B (88.5%). BenchLM does not use these results to rank models overall.
Qwen3.6-35B-A3B
Alibaba
qwen3-6-35b-a3b
Nemotron 3 Nano Omni 30B A3B
NVIDIA
nemotron-3-nano-omni-30b-a3b
Benchmark score table (2 models)
ScoreAbout AI2D_TEST
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.
BenchLM freshness & provenance
Version
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.
FAQ
What does AI2D_TEST measure?
A diagram understanding benchmark focused on scientific and educational visual question answering.
Which model scores highest on AI2D_TEST?
Qwen3.6-35B-A3B by Alibaba currently leads with a score of 92.7% on AI2D_TEST.
How many models are evaluated on AI2D_TEST?
2 AI models have been evaluated on AI2D_TEST on BenchLM.
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