Model Releases
Terminal Bench 4.0 just dropped, GLM-5.3 is at the same level as Fable 5, accounting for margin of error
Announcement: https://www.tbench.ai/news/terminal-bench-4-0 Leaderboard: https://www.tbench.ai/ Imo the best aspect in their announcement is their focus on rapidly iterating on TerminalBench to keep t
Announcement: https://www.tbench.ai/news/terminal-bench-4-0 Leaderboard: https://www.tbench.ai/ Imo the best aspect in their announcement is their focus on rapidly iterating on TerminalBench to keep the pace up with new model releases to fight benchmark saturation. On a similar note, what cheaper/smaller alternatives are there to benchmarking coding agents or your own harness? Large benchmarks like this take 5-10B tokens, which is not economically/computationally feasible for the vast majority of us. I'd love to objectively measure how my skills/harness/tools/etc change token usage and success probability on general coding tasks, there has to be a way to do this to at least give an idea or general direction, without requiring billions of tokens for each run. submitted by /u/SorosAhaverom [link] [comments]
Related
- DeepSeek V4 Flash GA ranks the same as Sonnet 5 and Grok 4.5 on DeepSWE
- Döner Bench DeepSeek-V4-Flash IQ2_XS running on a single RTX 3090
- Deepseek V4 flash 0731 ranks #21 on Agent Arena
Source: r/LocalLLaMA | 2026-08-29