VIALS-AA - Average of 3: leaderboard

Artificial Analysis' implementation of Handshake AI's VIALS (life-science image interpretation: blots, plasmid maps, phylogenetics, flow cytometry, molecular and protein structures). AA evaluates the released 161-task set; models get the question and image file paths, a sandbox with Python and no network, and an image-viewing tool if vision-capable, through AA's Stirrup harness. Three independent repeats per task, graded by GPT-6 Luna (medium) with the upstream judge prompts; a missing answer or refusal scores zero. This board reports average correctness across the three repeats. Distinct from the paper's direct-VLM 'VIALS' board. Rows keep AA's effort labels (for example Max, High, Xhigh).

Metric: Mean correctness over 3 repeats (%). Source: artificialanalysis.ai. Saturation forecast: Around September 2028. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (Max)68.32#5 (GPT-6 Astra)
2Gemini 4 Carbon (High)67.29#1 (Gemini 4 Carbon)
3Gemini 4 Argon (High)66.25#9 (Gemini 4 Argon)
4GPT-6.1 Terra (Max)66.05#14 (GPT-6.1 Terra)
5GPT-6.1 Sol (Max)64.8#6 (GPT-6.1 Sol)
6Muse Wonder (Max)64.8#16 (Muse Wonder)
7Claude Haiku 5.5 (Max)60.46#46 (Claude Haiku 5.5)
8Kimi K3.1 Pro60.04#18
9MiMo-V2.6-Pro58.39#51
10DeepSeek V4.1 Flash (1017) (Max)53.21#28 (DeepSeek V4.1 Flash (1017))
11GLM-5.3 Flash53#79
12Grok 4.7 (xHigh)52.38#26 (Grok 4.7)
13Gemini 3.8 Flash (High)51.97#30 (Gemini 3.8 Flash)
14Qwen 3.8 Max (0902)50.93#37
15MiniMax-M3.1-Flash49.69#57

No result here: #3 Claude Opus 5.5, #10 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=vials-aa-average-of-3 · How It Works · Data refreshed daily, snapshot 2026-11-07.