Terminal-Bench
Terminal-Bench Articles
Browse 4 articles about Terminal-Bench.
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
DeepSeek V4.1-Flash-1017: What's New in the Benchmark Update
DeepSeek-V4.1-Flash-1017 raises coding and agentic benchmark scores over its predecessor while cutting task time and output length.
DeepSeek V4.1 FlashDeepSeek V4.1-1017DeepSeek benchmark
Ling-3.1-flash: Inside InclusionAI's 560B Hybrid Reasoning MoE Model
Ling-3.1-flash is InclusionAI's 560B/25B-active hybrid-linear MoE model with a 1M-token context window. Specs, architecture, benchmarks explained.
Ling-3.1-flashinclusionAI Ling560B MoE model
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