> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qoder.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Model
Qoder CLI includes world-class SOTA AI models and provides a flexible selection mechanism to help you find the right balance between development efficiency, output quality, and cost.
## Model Selection
### Tiered Models (Default)
The model tier selector provides five high-performance model pools for developers, each with a different balance between cost and performance. Like driving modes in a smart car, you can choose the right gear for each task.
| Tier | Description | Use Cases | Credit Usage |
| -------------------- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------ | ------------ |
| Smart Routing (Auto) | Intelligently selects the most suitable model, balancing performance and cost | Most daily development work, recommended as the default | \~1.0x |
| Ultimate | Expert-level deep reasoning and thinking capabilities | Complex system design, high-difficulty problem analysis | \~1.6x |
| Performance | Advanced reasoning capabilities and high-quality output | Core feature implementation, architecture design, code refactoring | \~1.1x |
| Efficient | Standard reasoning capabilities with high cost-effectiveness | Basic code generation, unit tests, daily Q\&A | \~0.3x |
| Lite | Basic reasoning capabilities, free to use | Quick validation, basic logic implementation, quick Q\&A | Free |
> Lite mode is available only for Team users. It may respond more slowly during peak hours and does not currently support multimodal Q\&A.
#### Credit Usage Comparison
The table below shows example Credit usage for a moderately complex coding task. Actual usage may vary depending on the task, codebase, context length, and model parameters.
| Model Tier | Credit Usage Rate | Example Task Usage |
| ----------- | ----------------- | ------------------ |
| Auto | \~1.0x | 10 Credits |
| Ultimate | \~1.6x | 20 Credits |
| Performance | \~1.1x | 11 Credits |
| Efficient | \~0.3x | 3 Credits |
| Lite | Free | 0 Credits |
### Frontier Models (New Models)
The New Models tab shows the specific models currently available. It is suitable when you have a clear model preference or want to verify specific capabilities.
Available models, descriptions, Credit usage rates, and supported parameters may change with server-side model list updates. Refer to the `/model` interface and `--list-models` output for the current list.
> Currently, only some models are open for direct selection.
| Model Name | Description | Credit Usage Rate |
| ----------------- | --------------------------------------------------------------------------------------------------------------------- | ----------------- |
| Qwen3.7-Max | Comprehensive leap in agentic capabilities, autonomously handling long-horizon complex tasks | 0.5x |
| Qwen3.7-Plus | Comprehensive leap in reasoning capability, efficiency, and multimodal experience | 0.1x |
| DeepSeek-V4-Pro | Excels at complex reasoning, code generation, and engineering tasks | 0.5x |
| DeepSeek-V4-Flash | Fast reasoning and low cost with balanced capabilities | 0.1x |
| GLM-5.2 | Excels at complex systems engineering and long-horizon tasks | 0.6x |
| Kimi-K2.7-Code | Kimi's latest model, built for long-context coding: precise instruction following and reliable long-horizon execution | 0.3x |
| MiniMax-M3 | Native multimodal perception, frontier coding capabilities, and 1M context depth for demanding workflows | 0.2x |
**Kimi-K2.7-Code** provides a **Fast** toggle in the parameter panel. Turning it on increases response speed to about 6x, and the Credit rate rises from 0.3x to 0.6x.
### Custom Models (Custom)
Connect models from your own provider subscriptions. Qoder supports a curated list of providers. Configure your API key to start using them.
Qoder supports accessing third-party provider model resources via API keys.
**Applicable For**: Individual plan
**Supported Providers**: Alibaba Cloud Model Studio, DeepSeek, Z.ai, Kimi, MiniMax, Xiaomi MIMO
## Model Parameters
Some models support configurable parameters to better adapt to different task types. Available parameters depend on the current model. The CLI shows supported options in the `/model` model list and model parameter panel.
### Context Window
The context window controls the maximum context length available for the conversation. Common options include:
| Option | Description |
| ------ | ------------------------------------------------------------- |
| 200K | Standard context window, sufficient for most tasks |
| 400K | Extended context for larger codebases or longer conversations |
| 1M | Maximum context for extremely large-scale projects |
In TUI mode, type `/context-window` to open the model parameter panel and adjust the context window.
### Thinking Effort
Controls how deeply the model reasons before generating a response. Available options vary by model. After you select a model, the interface shows the levels supported by that model.
| Option | Description |
| ------ | ------------------------------------------------------- |
| low | Minimal reasoning, fastest response |
| medium | Moderate reasoning depth |
| high | Deep reasoning for complex tasks |
| xhigh | Deep analysis for high-difficulty problems |
| max | Maximum reasoning depth for the most complex challenges |
Use `/effort` in TUI mode to adjust the current model's thinking effort. Run it without arguments to open the model parameter panel, or pass a level directly:
```text theme={null}
/effort high
/effort auto --session-only
/effort off
```
By default, changes are saved to `~/.qoder/settings.json`; add `--session-only` to apply them only to the current session.
### Fast Mode
Some models provide Fast mode to prioritize response speed. Credit usage may change after it is enabled. Refer to the model parameter panel for details.
```text theme={null}
/fast on
```
### Supported Models
Currently, Ultimate, Performance, DeepSeek-V4-Pro, DeepSeek-V4-Flash, Qwen3.7-Max, Qwen3.7-Plus, GLM-5.2, MiniMax-M3, and Kimi-K2.7-Code support parameter configuration. Qwen3.7-Max, Qwen3.7-Plus, GLM-5.2, and MiniMax-M3 support only context window configuration; Kimi-K2.7-Code supports only enabling Fast mode; the remaining models support both context window and thinking effort.
## Switching Models
### Switch in TUI
Type `/model` in TUI mode to open the model selector. The interface has three tabs: Default, New Models, and Custom.
```text theme={null}
/model
```
`↑` / `↓` to navigate, `Tab` to switch tabs, `Enter` to confirm, `Esc` to close.
Your selection is automatically saved to `~/.qoder/settings.json` and persists across sessions.
### Command-Line Flags
Use the `--model`, `--reasoning-effort`, and `--context-window` flags to specify model settings at startup. These apply to the current session only and are not persisted:
```bash theme={null}
qodercli --model efficient # Efficient tier
qodercli --model auto # Auto tier
qodercli --reasoning-effort high
qodercli --context-window 400000
```
### List Available Models
Use `--list-models` to print the models available to the current account without opening the TUI. This is useful for scripts and automation:
```bash theme={null}
qodercli --list-models
```
## Adding a Custom Model
1. Type `/model` and switch to the **Custom** tab
2. Select `Add custom model...` and press `Enter`
3. Follow the prompts to select Provider -> Model Type -> Model
4. Enter your API key and any other required fields
5. Once verified, the model is saved and ready to use
To delete a custom model, select it in the Custom tab and press `d`.