Reddit user compares Kimi K3.1 Pro pelican-scene output
AI summary
A Reddit user shared a Kimi K3.1 Pro result prompted to create a “high fidelity scene of pelican riding a bicycle.” The user said the run used the Pi.dev harness, maximum default thinking and about 160,000 context tokens. Comparing the result with other examples, they judged it better than Opus 5 but less close to Opus 5.5 and astra 6. The poster also speculated that additional thinking might have improved the result.
In-depth insight
The post provides one user's qualitative comparison and details a reported Kimi K3.1 Pro run configuration.
| Kimi K3.1 Pro, default thinking (max). Context usage was at ~160k tokens. Pi.dev harness. For comparison, here's the Opus 5.5. result at launch time: https://www.reddit.com/r/ClaudeCode/comments/1wnhlrn/opus_55_create_a_high_fidelity_scene_of_pelican/ - made with Claude code. Better than Opus 5, but still somewhat large gap to opus 5.5 and astra 6. I'd guess even more thinking would have made this better. submitted by /u/blaind0 [link] [comments] |