vibe-openscad

全実行結果

モデルを選んで比較する →

課題
9 / 9
実行結果
1774 成功 1685 / 失敗 89
累計コスト
$60.54 内 $5.30 は失敗
累計時間
1321.5m 内 273.3m は失敗

課題ごとの生成結果

成功はレンダリングの完了を示します。形状の正しさは画像や 3D 表示で確認してください。

フィルタ tier / harness / model / status

同じ項目内は「いずれかに一致」、異なる項目間は「すべてに一致」で絞り込みます。

tier
harness
model
status

中央に貫通穴を持つ立方体 tier 1 この課題でモデルを比較 → tier-1-cube-with-hole +10 過去 run

bare
anthropic
bare render of tier-1-cube-with-hole
bare
claude fable 5
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 49.6s 3594/1833t $0.1276
bare render of tier-1-cube-with-hole
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 36.7s 3801/1407t $0.0542
bare render of tier-1-cube-with-hole
bare
claude opus 4.7
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 39.1s 3739/1326t $0.0518
openai
google
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted

階段状ピラミッド tier 1 この課題でモデルを比較 → tier-1-stepped-pyramid +10 過去 run

bare
anthropic
bare render of tier-1-stepped-pyramid
bare
claude fable 5
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 64.0s 4713/3174t $0.2058
bare render of tier-1-stepped-pyramid
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 38.1s 5005/2166t $0.0792
bare render of tier-1-stepped-pyramid
bare
claude opus 4.7
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 33.8s 5071/1942t $0.0739
openai
google
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted

取手付きマグカップ tier 1 この課題でモデルを比較 → tier-1-mug +16 過去 run

bare
anthropic
bare render of tier-1-mug
bare
claude fable 5
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 261.2s 5655/19199t $1.02
bare render of tier-1-mug
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 90.5s 6259/6730t $0.1995
bare render of tier-1-mug
bare
claude opus 4.7
effort
effort=low low
medium
· high* render effort=max max · xhigh render
thinking
· off render · adaptive* render
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 90.0s 6128/6453t $0.1920
bare render of tier-1-mug
bare-think-off
claude sonnet 5
effort
effort=low low
medium
effort=high high* · max nocode effort=xhigh xhigh
thinking
thinking=off off · adaptive* nocode
dynamic
8 step 1891.4s 1760/178286t $1.79
bare render of tier-1-mug
bare
claude sonnet 4.6
effort
effort=low low
medium
· high* render
max
xhigh
thinking
· off render thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 109.3s 6387/6418t $0.1154
openai
no render
bare
openai gpt 5.6 luna
effort
effort=low low · medium* render effort=high high effort=max max effort=xhigh xhigh
6 step 251.8s 1008/24165t $0.0292
bare render of tier-1-mug
bare
openai gpt 5.4 nano 2026-03-17
effort
effort=low low effort=medium medium* · high render
max
xhigh
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
7 step 112.2s 5210/14846t $0.0266
bare render of tier-1-mug
bare
openai gpt 5 mini 2025-08-07
effort
effort=low low effort=medium medium* effort=high high
max
xhigh
iterpng
iter 1 i1 · i2 render iter 3 i3
7 step 852.9s 4301/37053t $0.0752
google
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted

六角ボルト M8x30 tier 2 この課題でモデルを比較 → tier-2-hex-bolt +10 過去 run

bare
anthropic
bare render of tier-2-hex-bolt
bare
claude fable 5
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 83.1s 5628/5146t $0.3136
bare render of tier-2-hex-bolt
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 54.4s 6033/3789t $0.1249
bare render of tier-2-hex-bolt
bare
claude opus 4.7
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 47.1s 6009/2839t $0.1010
openai
google
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted
bare render of tier-2-hex-bolt
bare
qwen/qwen3.5-9b
iterpng
iter 1 i1 · i2 render · i3 render
4 step 130.5s 3006/14516t

皿穴付き L 字金具 tier 2 この課題でモデルを比較 → tier-2-l-bracket +10 過去 run

bare
anthropic
bare render of tier-2-l-bracket
bare
claude fable 5
effort
effort=low low
medium
effort=high high* · max nocode effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 485.1s 7674/38924t $2.02
bare render of tier-2-l-bracket
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 139.1s 9072/10644t $0.3115
bare render of tier-2-l-bracket
bare
claude opus 4.7
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 163.1s 9765/12312t $0.3566
bare render of tier-2-l-bracket
bare-think-off
claude sonnet 5
effort
effort=low low
medium
effort=high high* · max nocode effort=xhigh xhigh
thinking
thinking=off off · adaptive* nocode
dynamic
8 step 1602.6s 3048/154171t $1.55
bare render of tier-2-l-bracket
bare
claude sonnet 4.6
effort
effort=low low
medium
effort=high high*
max
xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 169.6s 8636/10395t $0.1818
openai
bare render of tier-2-l-bracket
bare
openai gpt 5 nano 2025-08-07
effort
· low render effort=medium medium* · high nocode
max
xhigh
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
7 step 1062.3s 6096/116744t $0.0470
google
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted

取手位置を指定したマグカップ tier 2 この課題でモデルを比較 → tier-2-offset-handle-mug +10 過去 run

bare
anthropic
bare render of tier-2-offset-handle-mug
bare
claude fable 5
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 438.0s 8082/32899t $1.73
bare render of tier-2-offset-handle-mug
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 190.4s 8549/13844t $0.3888
bare render of tier-2-offset-handle-mug
bare
claude opus 4.7
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 142.9s 8739/10629t $0.3094
bare render of tier-2-offset-handle-mug
bare-think-off
claude sonnet 5
effort
effort=low low
medium
effort=high high* · max nocode effort=xhigh xhigh
thinking
thinking=off off · adaptive* nocode
dynamic
8 step 2075.4s 2744/190168t $1.91
bare render of tier-2-offset-handle-mug
bare
claude sonnet 4.6
effort
effort=low low
medium
· high* nocode
max
xhigh
thinking
· off nocode thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 429.0s 12001/22495t $0.3734
openai
bare render of tier-2-offset-handle-mug
bare
openai gpt 5.4 nano 2026-03-17
effort
effort=low low effort=medium medium* · high render
max
xhigh
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
7 step 127.0s 9084/17117t $0.0110
no render
bare
openai gpt 5 mini 2025-08-07
effort
effort=low low · medium* render effort=high high
max
xhigh
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
7 step 756.7s 5879/50978t $0.1034
no render
bare
openai gpt 5 nano 2025-08-07
effort
· low render · medium* render · high nocode
max
xhigh
iterpng
· i1 render · i2 render iter 3 i3
7 step 936.1s 3472/93357t $0.0375
bare render of tier-2-offset-handle-mug
bare
openai gpt 5.1 codex max
effort
low
effort=medium medium*
high
max
xhigh
iterpng
· i1 render iter 2 i2 iter 3 i3
5 step 268.6s 4534/33922t $0.3795
google
bare render of tier-2-offset-handle-mug
bare
gemini flash-lite 2.5
thinking
· off render
adaptive
thinking=dynamic dynamic*
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
6 step 26.8s 5346/5906t $0.0029
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted

バット蝶番(2 枚 + ピン軸) tier 3 この課題でモデルを比較 → tier-3-butt-hinge +10 過去 run

bare
anthropic
bare render of tier-3-butt-hinge
bare
claude fable 5
effort
effort=low low
medium
effort=high high* · max nocode effort=xhigh xhigh
thinking
off
thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 697.1s 13938/56963t $2.99
bare render of tier-3-butt-hinge
bare
claude opus 4.8
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 272.0s 16329/22435t $0.6425
bare render of tier-3-butt-hinge
bare
claude opus 4.7
effort
effort=low low
medium
effort=high high* effort=max max effort=xhigh xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
11 step 248.2s 15189/18535t $0.5393
bare render of tier-3-butt-hinge
bare-think-off
claude sonnet 5
effort
effort=low low
medium
effort=high high* · max nocode effort=xhigh xhigh
thinking
thinking=off off · adaptive* nocode
dynamic
8 step 2204.6s 5944/207317t $2.09
bare render of tier-3-butt-hinge
bare
claude sonnet 4.6
effort
effort=low low
medium
effort=high high*
max
xhigh
thinking
thinking=off off thinking=adaptive adaptive*
dynamic
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
9 step 240.0s 13852/15375t $0.2722
openai
no render
bare
openai gpt 5.4 nano 2026-03-17
effort
effort=low low · medium* render effort=high high
max
xhigh
iterpng
· i1 render · i2 render · i3 render
7 step 170.8s 8689/25967t $0.0162
bare render of tier-3-butt-hinge
bare
openai gpt 5 mini 2025-08-07
effort
· low render effort=medium medium* effort=high high
max
xhigh
iterpng
iter 1 i1 · i2 render iter 3 i3
7 step 1170.2s 10690/57422t $0.1175
bare render of tier-3-butt-hinge
bare
openai gpt 5 nano 2025-08-07
effort
· low render effort=medium medium* · high nocode
max
xhigh
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
7 step 1323.7s 9229/111303t $0.0450
no render
bare
openai o4 mini 2025-04-16
effort
effort=low low · medium* render effort=high high
max
xhigh
iterpng
iter 1 i1 iter 2 i2 iter 3 i3
7 step 397.8s 7367/53331t $0.2428
google
bare render of tier-3-butt-hinge
bare
gemini flash-lite 2.5
thinking
thinking=off off
adaptive
thinking=dynamic dynamic*
iterpng
· i1 render iter 2 i2 iter 3 i3
6 step 98.3s 21249/22522t $0.0111
openai (self-hosted)
google (self-hosted)
nvidia (self-hosted)
qwen (self-hosted)
self-hosted

距離センサ GP2Y0D413K0F の外形モデリング(データシート図から) tier 4 この課題でモデルを比較 → tier-4-gp2y0d413k +26 過去 run

pdf-page
anthropic
openai
google
google (self-hosted)
self-hosted

距離センサ GP2Y0A21YK0F の外形モデリング(データシート図から) tier 4 この課題でモデルを比較 → tier-4-gp2y0a21yk +26 過去 run

pdf-page
anthropic
openai
google
google (self-hosted)
self-hosted