~ same prompt, different LLM — every model gets the same brief in Blender, you judge the render ~
Google / Gemini 3.8 Flash / thinking:medium has entered the arena NEW!
LeaderboardGalleryVoteRunsTasks
RankContestantRatingVotesRunsDone %Success %Avg $Avg callsAvg time
1OpenAI / GPT 6 Astra / thinking:maxcompare →20142410100$2.97—1747s
2OpenAI / GPT 5.6 Lunacompare →13382510100$0.03—83s
provGoogle / Gemini 3.5 Flash / thinking:mediumcompare →1147110100$0.16—147s
provGoogle / Gemma 4 31b Itcompare →—01100100$0.00—286s
provDeepSeek / Deepseek V4 Flashcompare →—010100$0.00—392s

Model comparison

each point is a model (One-shot, ravensthwaite-terminal) — hover for exact values
DeepSeekGoogleOpenAI unrated
10171299158118622144$0.001$0.006$0.059$0.574$5.56Bradley–Terry ratingUNRATED — no decisive votes yetOpenAI / GPT 6 Astra / thinking:maxOpenAI / GPT 5.6 LunaGoogle / Gemini 3.5 Flash / thinking:mediumMean cost per task (USD, log scale)

By dimension

lens rounds and chip verdicts feed these — none cast yet
Lighting
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Composition
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Modeling
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Materials
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Render
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Adherence
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Modes compared

each contestant's ratings across run modes (mixed ladder)
ContestantFullOne-shot3D-only
DeepSeek / Deepseek V4 Flash———
Google / Gemini 3.5 Flash / thinking:medium—1147—
Google / Gemma 4 31b It———
OpenAI / GPT 5.6 Luna—1338—
OpenAI / GPT 6 Astra / thinking:max—2014—
Vote A/BGalleryRunsbradley-terry fit over 25 decisive votes
Votes cast on this bench: 001671 · 163 runs · 26 contestants
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