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NanoGPT Speedrun Frontier Ranks AI Models by Performance
Key points
- Fable model achieved the highest score of 52,726 points.
- Fable also had the highest closure rate at 81.7%.
- Opus and Kimi K3 models followed Fable in the rankings.
- The ranking includes various models like GPT, Grok, Qwen, and GLM.
AI Model Performance Ranking
The NanoGPT Speedrun Frontier has released a new ranking showcasing the performance of various AI models. This ranking evaluates models based on their ability to complete tasks efficiently within a speedrun context, measured by points and closure rates.
Top Performers
Fable emerged as the leading model, securing 52,726 points and achieving an 81.7% closure rate. Following Fable, Opus scored 52,920 points with a 53.6% closure rate, and Kimi K3 ranked third with 32,930 points and a 52.2% closure rate. These models demonstrated strong performance in the speedrun challenge.
Diverse Model Representation
The ranking includes a diverse set of AI models from different developers. Notable entries include multiple versions of GPT (GPT-5.6 Sol, GPT-5.6 Sol Pro, GPT-5.6 Luna, GPT-5.6 Terra, GPT-5.5), Grok (Grok 4.5, Grok 4.6), Qwen3.8 Max, GLM (GLM 5.2, GLM 5.3), DeepSeek V4 Pro, and Muse Spark (Muse Spark 1.2, Muse Spark 1.1). The list provides a snapshot of current AI model capabilities in this specific benchmark.
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Reporting from
The NanoGPT Speedrun Frontier has published a ranking of AI models based on their performance in a speedrun challenge. Fable leads the list with 52,726 points and an 81.7% closure rate, indicating its efficiency in completing tasks within the speedrun environment.