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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.

Qoder includes world-class SOTA AI models and offers a flexible selection mechanism to help you find the optimal balance between development efficiency, output quality, and cost.
In addition to built-in models, you can also connect your own models via API keys. See Custom Models for details.

Model Selector

The Model Selector offers two selection methods: Tier Selection and Specific Model, to meet different scenario needs.

Tier Selection

The Model Tier Selector provides developers with five high-performance model pools, each striking a different balance between cost and performance. Like driving modes in a smart car, choose the right gear for each task.
TierDescriptionUse CasesCredit Usage
Auto (Smart Routing)Intelligently selects the most suitable model, balancing performance and costMost daily development work, recommended as default~1.0×
UltimateExpert-level deep reasoning and thinking capabilitiesComplex system design, high-difficulty problem analysis~1.6×
PerformanceAdvanced reasoning capabilities, high-quality outputCore feature implementation, architecture design, code refactoring~1.1×
EfficientStandard reasoning capabilities, high cost-effectivenessBasic code generation, unit tests, daily Q&A~0.3×
LiteBasic reasoning capabilities, free to useQuick validation, basic logic implementation, quick Q&AFree
Lite mode may have slower response times during peak hours and does not currently support multimodal Q&A.

Credit Consumption Comparison

The table below shows Credit consumption examples for different tiers when completing a moderately complex coding task:
Model TierCredit Consumption RateExample Task Consumption
Auto~1.0×10 Credits
Ultimate~1.6×20 Credits
Performance~1.1×11 Credits
Efficient~0.3×3 Credits
LiteFree0 Credits
Due to variations in tasks and codebases, actual consumption rates may differ.
Experts Mode is selected separately from model tiers. In Experts Mode, you can choose between Auto (1.0x) and Ultimate (1.6x) tiers. It coordinates multiple expert agents in parallel, so actual Credit usage depends on task complexity, expert turns, and tools invoked.

Specific Model

In addition to tier selection, you can directly choose a specific model from a particular provider. Ideal for scenarios where you have clear model preferences or specific requirements.
Currently, only a selection of models is available for direct selection.
Model NameDescriptionCredit Consumption Rate
Qwen3.6-PlusComprehensive leap in reasoning capability, efficiency, and multimodal experience0.2×
DeepSeek-V4-ProExcels at complex reasoning, code generation, and engineering tasks0.5×
DeepSeek-V4-FlashFast reasoning and low cost with balanced capabilities0.1×
GLM-5.1Excels at complex systems engineering and long-horizon tasks0.6×
Kimi-K2.6Excels in multimodal understanding and complex task handling0.3×
MiniMax-M2.7Agentic model combining speed, performance, and cost-efficiency0.2×

Model Parameters

Some models support configuring parameters to better adapt to different task types. In the model selector dropdown, hover over a model name to reveal a parameter panel on the left, then click the Edit button to configure parameters.

Context

Controls the maximum context window size available for the conversation.
OptionDescription
200KStandard context window, sufficient for most tasks
400KExtended context for larger codebases or lengthy conversations
1MMaximum context for extremely large-scale projects

Thinking Effort

Controls how deeply the model reasons before generating a response. Available options vary by model — the interface will show the supported levels after you select a model.
OptionDescription
lowMinimal reasoning, fastest responses
mediumBalanced reasoning depth
highThorough reasoning for complex tasks
xhighDeep analysis for high-difficulty problems
maxMaximum reasoning depth, best for the most complex challenges

Supported Models

Currently, Ultimate, Performance, DeepSeek-V4-Pro, DeepSeek-V4-Flash, and Qwen3.6-Plus support parameter configuration. Among these, Qwen3.6-Plus supports Context only, while the others support both Context and Thinking Effort.

How to Switch

  1. In the AI Chat input box, click the model selector dropdown menu
  2. Select Model Tier or Specific Model
  3. The selection takes effect immediately, and the new model will apply to subsequent conversations in the current session
When your account has no Credits, only the Lite tier is available. Upgrade or acquire more Credits to unlock other tiers.

FAQ

Will the model list be updated?

Yes. Qoder continuously introduces outstanding new models from the industry, and will retire or replace some older models based on model performance and market conditions, keeping the model list high-quality and reliable.

Can I switch models within the same conversation?

Yes. You can switch model tiers or specific models at any time using the dropdown menu in the chat input box. The new selection takes effect instantly for subsequent conversations, allowing you to adjust dynamically based on real-time task needs.

What’s the difference between model tiers and specific models?

The Model Tier Selector intelligently matches the most suitable model based on the selected tier—you don’t need to know which specific model is being used. Specific model selection lets you directly choose a particular model from a specific provider, ideal for scenarios where you have clear preferences or specific requirements.

How is Credit consumption calculated for different models?

Your Credit consumption is determined by the number of tokens used per request and the unit price of the model used. For detailed billing rules, please refer to Credits.

Is Lite mode completely free? Are there any limitations?

Lite mode is currently free, but responses may be slower during peak hours, and it does not yet support multimodal Q&A.