GLM-5.3 vs. GLM-5.3 Flash on DeepSWE: Cost, Coding, and Routing

Benchmark results on 113 DeepSWE software-engineering tasks indicate that GLM-5.3 Flash is substantially cheaper and faster than the full GLM-5.3 model while retaining much of its capability, though with lower single-attempt reliability. The full model achieved 69.0% pass@1 versus Flash’s 63.4%, but the gap narrowed from 5.6 points to 2.6 points after four attempts, suggesting that Flash’s main loss from distillation is consistency rather than its ability to solve tasks. At $0.24 per rollout compared with $3.99, Flash delivered 264 solves per $100 versus 17 for the full model, completed runs faster, and performed comparatively well in concurrency, Python, data modeling, and protocol tasks, while the full model remained stronger in JavaScript, query-oriented work, and several reasoning-heavy languages. The analysis found that Flash retained solutions for 93 of the 99 tasks solved at least once by the full model, but was less able to turn longer attempts into successes and more likely to break previously passing baseline tests, with a 6.9% regression rate versus 4.4%. It recommends using Flash by default in cost-sensitive or retry-tolerant workflows, validating its changes with regression tests, and escalating rejected outputs to the full model, a cascade reported to reach 80.9% accuracy at $1.70 per task.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.