Zhipu GLM-5.3 DeepSWE Score Jumps to 69 via Post-Training Scaling
haider1 · x · 2026-08-20
Zhipu AI achieved a significant breakthrough with GLM-5.3. Using the same base model as GLM-5.2, scaling post-training alone pushed its DeepSWE score from 44 to 69, nearing Fable 5-level performance. This was achieved at a fraction of the cost and with a much smaller model.
Related event: Zhipu GLM-5.3 Boosts DeepSWE Score from 44 to 69 via Post-Training Alone(2 posts)→
More from Models
- Cribl Releases SecIT Bench: Diagnostic Investigation Costs Vary 20x Across Models — jonathan_wilke · 2026-08-20
- Claude hallucinates delivery dates and membership rules for Hot Wheels — Secret_Divide_3030 · 2026-08-20
- Dev praises Qwen 3.8 27B: Benchmarked to actually work — rudrank · 2026-08-20
- Zhipu GLM-5.3 scores 69 on official DeepSWE leaderboard — AccBalanced · 2026-08-20
- Anthropic is building a Claude text watermark that survives copy, paste and edits — Matt Wolfe · 2026-08-20
- Poll gauges user retention after DeepSeek price hike — oran_ge · 2026-08-20