Unverified50% confidenceBenchmarkExact time
Based on industry experience with code agent tasks, models above 14B are noticeably better than those below 7B, and models around 32B have already reached a usable level for most moderately complex tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/22/2026
First Seen
Valid until: 12/21/2026
Sources
Related Entities
Related Claims
Unverified对于代码分析任务，一个能全速跑在显存里的14B模型实际体验往往好过一个被迫卸载到CPU的27B模型79% similarUnverifiedAgent tasks require multiple model invocations, and a 12B model on a consumer-grade GPU already takes several seconds per inference, causing the time cost of multi-step tasks to accumulate significantly.68% similarUnverified练手项目复杂度应控制在AI能够一次性理解全部上下文的范围内，通常是几百行到一两千行代码66% similarUnverifiedHarmonyOS 7 can run models with 30B parameters on-device without internet connectivity, with a complex task success rate exceeding 90%.65% similarUnverified在代码Agent场景下，一次完整任务的轨迹长度可达数十万token65% similar
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