--- title: "Model Selection Guide" description: "Last updated: August 20, 2025." --- New models drop constantly, so this guide focuses on what's working well with Cline right now. We'll keep it updated as the landscape shifts. ## Current Top Models | Model | Context Window | Input Price* | Output Price* | Best For | |-------|---------------|--------------|---------------|----------| | **Claude Sonnet 4** | 1M tokens | $3-6 | $15-22.50 | Reliable tool usage, complex codebases | | **Qwen3 Coder** | 256K tokens | $0.20 | $0.80 | Coding tasks, open source flexibility | | **Gemini 2.5 Pro** | 1M+ tokens | TBD | TBD | Large codebases, document analysis | | **GPT-5** | 400K tokens | $1.25 | $10 | Latest OpenAI tech, three modes | *Per million tokens ## Budget Options | Model | Context Window | Input Price* | Output Price* | Notes | |-------|---------------|--------------|---------------|-------| | **DeepSeek V3** | 128K tokens | $0.14 | $0.28 | Great value for daily coding | | **DeepSeek R1** | 128K tokens | $0.55 | $2.19 | Budget reasoning champion | | **Qwen3 32B** | 128K tokens | Varies | Varies | Open source, multiple providers | | **Z AI GLM 4.5** | 128K tokens | TBD | TBD | MIT licensed, hybrid reasoning | *Per million tokens ## Context Window Guide | Size | Word Count | Use Case | |------|------------|----------| | 32K tokens | ~24,000 words | Single files, small projects | | 128K tokens | ~96,000 words | Most coding projects | | 200K tokens | ~150,000 words | Large codebases | | 400K+ tokens | ~300,000+ words | Entire applications | **Performance note**: Most models start dropping in quality around 400-500K tokens, even if they claim higher limits. ## Open Source vs Closed Source ### Open Source Advantages - **Multiple providers** compete to host them - **Cheaper pricing** due to competition - **Provider choice** - switch if one goes down - **Faster innovation** cycles ### Open Source Models Available - **Qwen3 Coder** (Apache 2.0) - **Z AI GLM 4.5** (MIT) - **Kimi K2** (Open source) - **DeepSeek series** (Various licenses) ## Quick Decision Matrix | If you want... | Use this | |----------------|----------| | Something that just works | Claude Sonnet 4 | | To save money | DeepSeek V3 or Qwen3 variants | | Huge context windows | Gemini 2.5 Pro or Claude Sonnet 4 | | Open source | Qwen3 Coder, Z AI GLM 4.5, or Kimi K2 | | Latest tech | GPT-5 | | Speed | Qwen3 Coder on Cerebras (fastest available) | ## What Others Are Using Check [OpenRouter's Cline usage stats](https://openrouter.ai/apps?url=https%3A%2F%2Fcline.bot%2F) to see real usage patterns from the community. ## Context Management Cline automatically handles context limits with [auto-compact](/features/auto-compact). When you approach your model's limit, Cline summarizes the conversation to keep working. You don't need to micromanage this. ## The Bottom Line Start with **Claude Sonnet 4** if you want reliability. Experiment with **open source options** once you're comfortable to find the best fit for your workflow and budget. The landscape moves fast - these recommendations reflect what's working now, but keep an eye on new releases.