Model Releases
Terminal Bench v4 scores
Some people says terminal bench reflects model intelligence better than the intelligent index. From the look of it, the ranking does seem to reflect how people feel about the open and closed models. F
Some people says terminal bench reflects model intelligence better than the intelligent index. From the look of it, the ranking does seem to reflect how people feel about the open and closed models. For the open models, GLM-5.3 is in a league of its own. GLM-5.3-Flash is leading the current gen of top flash models. Kimi-K3 did pretty bad in this benchmark for its size. Qwen3.8-27B is the only small model that can do something on this bench. Model Score GLM-5.3 41.9% GLM-5.3-Flash 32.8% DSV4.1-Flash 26.8% Qwen3.8-Flash-Next 25.3% DSV4-Pro 14.1% Kimi-K3 12.6% DSV4-Flash 12.1% Qwen3.8-27B 5.6% Muse Glimmer 0.5% gemma4-31b 0.0% submitted by /u/Ok_Warning2146 [link] [comments]
Related
- A collection of small domain-specific benchmarks for local models (30+ and growing)
- DeepSeek-V4-Flash-0731: Models you can run locally now have the intelligence score of the top frontier model from March 2026
- Deepseek V4 flash - Hy3 or is Qwen3.6 27B still the most solid for agentic/coding?
Source: r/LocalLLaMA | 2026-09-11