deepseek/deepseek-v3.2 model ANIMALS

LLM procedural (code-gen) · commissioned via OpenRouter

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782.0 BT in LLM procedural (code-gen) #4 in method 16 votes 14 tasks provisional

Ratings by task

Task Category Outputs Votes
Amanita muscaria — single-image → 3D reconstruction Fungi 1 1
Anas platyrhynchos — single-image → 3D reconstruction Animals 1 1
Arabidopsis thaliana — single-image → 3D reconstruction Plants 1 2
Boletus edulis — single-image → 3D reconstruction Fungi 1 1
Canis lupus familiaris — single-image → 3D reconstruction Animals 1 1
Danaus plexippus — single-image → 3D reconstruction Animals 1 0
Glycine max — single-image → 3D reconstruction Plants 1 1
Hericium erinaceus — single-image → 3D reconstruction Fungi 1 1
Lycoperdon perlatum — single-image → 3D reconstruction Fungi 1 1
Morchella esculenta — single-image → 3D reconstruction Fungi 1 1
Pinus sylvestris — single-image → 3D reconstruction Plants 1 3
Rosa — single-image → 3D reconstruction Plants 1 1
Solanum lycopersicum — single-image → 3D reconstruction Plants 1 1
Zea mays — single-image → 3D reconstruction Plants 1 1

Head-to-head

within its own method · LLM procedural (code-gen)
Opponent W–L–T n Win rate
deepseek/deepseek-v4-pro 1–0–0 1 100.0%
qwen/qwen3.7-plus 0–1–0 1 0.0%

Records cover all judged comparisons, ties included: a tie counts as half a win and one comparison, so n is the true number of times the two models were judged against each other. “Both bad” votes are excluded.

Sample outputs

deepseek/deepseek-v3.2
deepseek/deepseek-v3.2
deepseek/deepseek-v3.2
deepseek/deepseek-v3.2
deepseek/deepseek-v3.2
deepseek/deepseek-v3.2