Cline Plan/Act Model Usage Patterns: Oct 2025 Data

TL;DR

• Claude Sonnet 4 dominates both Plan (42.6%) and Act (46.6%) modes in Cline
• Opus 4.1 → Sonnet 4 is the top cross-mode pairing (25.3% of mixed-model usage)
• Pricing matters: Gemini 2.5 Flash and DeepSeek offer 10-50x cheaper alternatives, but Sonnet 4 remains the developer default

What Dropped

Cline published 7-day usage analytics showing how developers pair models for planning versus execution. The data reveals strong Claude dominance, but also emerging cost-conscious alternatives gaining traction.

The Dev Angle

Plan mode (thinking/reasoning) and Act mode (code execution) let you pick different models for different jobs. Most developers stick with one model across both modes—Sonnet 4 handles 42.6% of planning and 46.6% of execution. But the interesting pattern is the Opus 4.1 → Sonnet 4 combo: use the heavier model for planning, lighter for execution. This trades latency for cost.

Pricing context matters here. Sonnet 4 costs $3 input / $15 output per million tokens. Gemini 2.5 Flash is $0.30 / $2.50—roughly 10x cheaper. DeepSeek Chat v3 runs $0.24 / $0.84. Grok Code Fast 1 is free. Yet Sonnet 4 still dominates. This suggests developers either haven't tested alternatives, prioritize quality over cost, or the performance gap justifies the spend.

Gemini 2.5 Pro (15.3% of Plan mode) is the only real competitor in the data, likely because it matches Sonnet 4's context window (1M tokens) and reasoning capability. Smaller models like GPT-5 Mini and Gemini 2.5 Flash barely register, despite aggressive pricing.

Should You Care?

If you're already using Cline, this is a signal: Sonnet 4 is the safe default. The community has validated it. But if you're cost-sensitive or working on simpler tasks, the data also shows room to experiment. Opus 4.1 for planning + Sonnet 4 for execution is a proven pattern that balances quality and cost.

Watch for Sonnet 4.5 adoption. Cline notes it expects Sonnet 4.5 to replace Sonnet 4 usage in coming weeks—same pricing, better performance. That shift will reshape these percentages fast.

If you're evaluating Cline for your team, use this data as a starting point, not gospel. Your workload (complexity, token volume, latency tolerance) will determine the right model pairing. The Model Selection Guide has detailed comparisons.

Source: Cline