Benchmark: FawnBench by @fawnunwrap · topicAI Coding
FawnBench round 2: running deer — Gemini 4 Argon vs DeepSeek V4.1 Flash 1017 vs GPT-6 Astra vs Claude Opus 5.5
Scoreboard4
- Gemini 4 ArgonGoogle
- Time
- 12.7 min
- Cost
- $0.67
- Tokens
- 78K
- DeepSeek V4.1 Flash 1017DeepSeek
- Time
- 4.7 min
- Cost
- $0.068
- Tokens
- 124K
- GPT-6 AstraOpenAI
- Time
- 6.5 min
- Cost
- $0.94
- Tokens
- 39K
- Claude Opus 5.5Anthropic
- Time
- 16.9 min
- Cost
- $2.09
- Tokens
- 106K
FawnBench round 2: running deerThe post doesn’t quote the prompt wording.
FawnBench round 2 motion test: Gemini 4 Argon, DeepSeek V4.1 Flash 1017, GPT-6 Astra and Claude Opus 5.5 animate a running deer. The labels show time, tokens and API cost; no winner named.
The post, itemised
- Kind
- Side-by-side
- Task
- FawnBench round 2: running deer
- Topic
- FawnBench (3D deer)
- Category
- 3D & Shaders
- Mode
- Not stated
- Posted
- Video length
- 16 s
- Likes
- 97
- Views
- 19,713
- Bookmarks
- 46
- Sponsored
- No
NotesModel names and figures from the labels in the video grid (Round 2, Running Deer); token counts are shown rounded to thousands.
Cost & time, as stated in the postAs shown on the video’s labels: Gemini 4 Argon 12m 41s, 78K tokens, $0.67; DeepSeek V4.1 Flash 1017 4m 40s, 124K tokens, $0.068; GPT-6 Astra 6m 29s, 39K tokens, $0.94; Claude Opus 5.5 16m 51s, 106K tokens, $2.09 (API cost).
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