A closer look

South Korea's LG AI Research just entered the big MoE weight class today (November 9) by opening a free API beta for K-EXAONE 2.5 and they benchmarked it directly against DeepSeek V4.1 Flash and Zhipu's GLM 5.3.

Here are the specs they just revealed:
- Size: 750 billion total parameters with 31 billion active per token (750B-A31B MoE).

- Context: 512K tokens using hybrid attention plus Multi-Token Prediction (MTP).

On their published agentic benchmarks:

- SWE-Bench Pro: Zhipu's GLM-5.3 still holds #1 in this group at 64.0%, but K-EXAONE 2.5 hits 59.2%, edging past DeepSeek-V4.1-Flash (58.4%).

- BrowseComp & Claw-Eval: K-EXAONE 2.5 scores 78.0 and 77.3, beating DeepSeek-V4.1-Flash (75.8 on both) and landing within a point of GLM-5.3.

Developers in China are already grabbing the free API keys on https://t.co/5UhQAR5a72 to wire it into their coding harnesses, though early testers warn it's tuned for English and Korean rather than Chinese.