Replit has released benchmark results for various AI models, revealing that newer models generally perform better. GPT-6.1 Sol and GPT-6 Astra lead in build completion rates, with GPT-6.1 Sol achieving 65% and GPT-6 Astra at 60%. Opus 5.5 also shows strong performance, completing builds faster than Sol, while DeepSeek V4.1 Flash demonstrates high pass rates for open-weight models at a lower cost. The benchmarks also highlight that models exhibit distinct 'house styles' in their output, with GPT models favoring illustrations and Claude models opting for plainer designs, though this stylistic difference did not correlate with performance. AI
IMPACT These benchmarks provide valuable insights into the performance and cost-effectiveness of various AI models, guiding developers in selecting the best tools for their applications.
RANK_REASON Benchmark results for AI models published by a platform.
Read on X — Replit (AI dev platform) →
- CHAT
- .claude
- DeepSeek V4.1 Flash
- design tool
- Document editor
- generative pre-trained transformer
- GPT-5.4
- GPT-6.1 Sol
- GPT-6.1 Terra
- GPT-6 Astra
- GPT-6 Sol
- Opus 5.5
- PageRank
- Replit
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