SWE-bench Verified
SWE-bench Verified Articles
Browse 5 articles about SWE-bench Verified.
Recursive Flint Benchmarks: SWE-bench and Terminal-Bench Scores Explained
Flint scores 74.2% on SWE-bench Verified and 89.7% on SWE-bench Pro v2. Here's what those coding agent benchmarks measure and why.
Flint SWE-bench scoreRecursive Flint benchmarkscoding AI model benchmark
Recursive Flint's SWE-bench and Terminal-Bench Scores, Explained
Recursive Flint hits 89.7% on SWE-bench Pro v2 and 54.9% on Terminal-Bench 2.1. Here's what those numbers mean for a 40B open coding model.
Recursive Flint benchmarkSWE-bench VerifiedTerminal-Bench
Xing4.0-29B-A4B: China Telecom's Agent-Focused MoE Model, Explained
Xing4.0-29B-A4B is China Telecom's new 29B MoE model trained on Ascend NPUs, benchmarked against Gemma4-26B-A4B and Qwen3.6-35B-A3B.
Xing4.0-29B-A4BTeleChat3Ascend NPU LLM
Xing4.0-29B-A4B Benchmarks: China Telecom's MoE Model Tested
Xing4.0-29B-A4B benchmark scores on SWE-bench, Terminal-Bench, and Claw-Eval, compared against Qwen3.6-35B-A3B and Gemma4-26B-A4B.
Xing4.0-29B-A4B benchmarksTeleChat MoE modelAscend NPU LLM
Xing4.0-29B-A4B: China Telecom's Ascend-Trained MoE Model Explained
Xing4.0-29B-A4B is a 29B MoE model trained fully on Ascend NPUs, with 256K context and coding scores beating Gemma4 and Qwen3.6 on several benchmarks.
Xing4.0-29B-A4BChina Telecom AI modelAscend NPU training