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Supported Models

Introduction

To help users achieve the best experience, Syncause has tested and evaluated mainstream large language models and provides a recommended support list. We recommend users prioritize models from this list to ensure optimal performance and stability. For models not on the support list or unpublished models, their intelligent reasoning capabilities must at least match the level of recommended models to ensure good usage results.

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Claude

Model NameSpeedQuality
anthropic/claude-4-sonnet4min+⭐⭐⭐⭐⭐
anthropic/claude-3.7-sonnet4.5min+⭐⭐⭐⭐⭐

DeepSeek

Model NameSpeedQuality
deepseek-v36min+⭐⭐⭐⭐⭐️

Gemini

Model NameSpeedQuality
gemini-2.5 flash2.5min+⭐⭐⭐⭐⭐️

GPT

Model NameSpeedQuality
openai/gpt-4o3min+⭐⭐⭐⭐⭐
openai/gpt-4.14min+⭐⭐⭐⭐⭐

Grok

Model NameSpeedQuality
xai/grok-4-07095min+⭐⭐⭐⭐⭐
xai/grok-34min+⭐⭐⭐⭐⭐

Qwen

Model NameSpeedQuality
qwen-plus(qwen3)5min+⭐⭐⭐⭐⭐️

Known Issue Models

Claude

Model NameSpeedIssues
anthropic/claude-3.5-sonnetCannot complete1. Unable to correctly call external tools

Gemini

Model NameSpeedIssues
gemini-2.5 pro5min+1. Can correctly execute the entire RCA process, but the model currently has empty output issues, waiting for official resolution
2. Default thinking mode enabled, cannot be disabled

GPT

Model NameSpeedIssues
openai/gpt-4o-miniCannot complete1. Unable to correctly call external tools

Custom Models

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When using Syncause, the integrated large language models should meet the following capability requirements:

  • Reasoning ability: Able to correctly understand user intent and make reasonable logical judgments.
  • Instruction following: Good instruction execution capability, able to accurately call and use various external tools.
  • Context length: Recommended to support 128k tokens or more for better handling of long texts and complex tasks.
  • Execution speed: Large models with thinking processes typically have relatively slower response times.

The simplest way is to select and invoke a model with similar performance from the recommended list.