Arcee AI: Coder Large

Arcee AI: Coder Large, a 32B-parameter model derived from Qwen 2.5-Instruct, demonstrates strong overall performance, particularly in its speed and reliability. It consistently ranks among the fastest models, achieving the 85th percentile across six benchmarks, and exhibits exceptional reliability with a 100th percentile ranking, indicating minimal technical failures. While its pricing is competitive, falling within the 55th percentile, its cost-effectiveness is notable given its capabilities. In terms of specific benchmarks, Coder Large shows a balanced performance. It achieves solid accuracy in "Coding (Baseline)" at 81.0% and excels in "Ethics (Baseline)" and "General Knowledge (Baseline)" with 99.0% and 96.0% accuracy, respectively. Its "Reasoning (Baseline)" accuracy of 68.0% is also commendable. However, its "Instruction Following (Baseline)" accuracy of 56.6% suggests an area for potential improvement. Despite some variations in accuracy, the model consistently delivers responses, making it a reliable choice for various applications, especially those requiring robust code generation and understanding.