DMflow.chat Introduces Gemini as a Default Model: User Guide and Comparison

DMflow.chat has introduced the Gemini 1.5 Flash model in version 1.0.17. This article will compare Gemini 1.5 Flash (hereafter referred to as Gemini Flash) with GPT 3.5, helping users understand their features and suitable use cases.

(Note: This article is not an in-depth analysis and will not discuss model scoring, context length, response speed, etc. It is intended to provide users with a reference for choosing models within our application.)

Output Quality

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Gemini Flash

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• Unstable JSON output

  • Frequent format errors when JSON output is requested (response_type=application/json)
  • Structure may be incomplete or not compliant with standard JSON syntax
  • Prone to parsing errors for complex JSON structures

• Excellent plain text output

  • Noticeably higher quality of plain text output compared to GPT-3.5
  • More coherent, logical, and precise content
  • Maintains consistency and coherence in long-form content generation

• Formatting issues

  • Frequently adds unnecessary line breaks at the end of sentences
  • Not just single line breaks, sometimes multiple consecutive ones
  • Frequent occurrence of escape characters, affecting output readability
  • These formatting issues may cause difficulties in subsequent processing or display

GPT-3.5 —

• Serves as a comparison benchmark

  • Widely used as a reference standard in language model evaluations
  • Provides a stable and reliable performance baseline
  • Helps measure the strengths and weaknesses of other models in various aspects

• Consistency in output quality

  • Stable performance across various tasks, maintaining a certain level of output quality
  • Better format control, fewer issues with unnecessary line breaks or escape characters

• Strong adaptability

  • Capable of handling various types of input and output requirements
  • Provides reasonable responses across different domains and tasks

Although Gemini Flash has some deficiencies in certain aspects, as a newer model, its overall performance should theoretically be superior to GPT 3.5. If JSON output format is not a primary consideration, Gemini Flash is recommended.

Multimedia Support

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• Gemini Flash:

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• Comprehensive support for video, audio, and image input
• Able to understand and analyze content in various media forms
• Provides a richer, more intuitive interactive experience

• GPT 3.5:

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• Limited to text input, unable to process multimedia content
• Has limitations in processing visual and auditory information

Gemini Flash holds an absolute advantage in multimedia processing. DMflow.chat fully supports its ability to process audio (limited to 5MB and within 5 minutes) and image inputs. For users requiring multimedia interaction, Gemini Flash is undoubtedly the best and only choice.

Tool Invocation

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• Gemini Flash:

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1. Unable to invoke multiple tools in parallel, potentially affecting the efficiency of complex tasks
2. After function execution errors, it’s easy to overlook previous invocations when providing supplementary explanations, affecting task continuity
3. Requires explicit specification of tool invocation timing in prompts, increasing usage difficulty

• GPT 3.5:

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1. High sensitivity to tool invocation, may trigger invocations unnecessarily
2. Capable of invoking multiple tools in parallel, improving efficiency for complex tasks
3. Automatic parameter filling may lead to hallucinations, affecting accuracy

In handling complex tasks requiring multiple tool collaborations, GPT 3.5 may have higher efficiency and flexibility.

Cost-Effectiveness

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The usage costs of both models are similar, reflecting DMflow.chat’s fair pricing strategy. The platform uses a credit system, with each conversation consuming one credit, allowing users to better control and plan their AI usage costs.

Selection Recommendations

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GPT 3.5

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• Excels in tool invocation, especially for the Chat function provided by DMflow.chat, with higher invocation accuracy.
• However, overly frequent tool invocations may lead to inaccurate automatic parameter filling, causing hallucinations.
• Considering that the GPT 3.5 model hasn’t been updated for a long time, users are advised to consider switching to more advanced models like GPT-4o or other latest models.

Gemini Flash

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• Performs excellently in Document Q&A and knowledge base-driven Chat, with better search and answer performance than GPT 3.5.
• To achieve stable tool invocation, users need to precisely specify invocation timing in prompts, requiring higher prompt engineering skills.
• For tasks requiring multimedia content processing, Gemini Flash is an irreplaceable choice.

DMflow.chat’s flexibility allows users to freely switch models based on specific needs. Given the rapid development of AI technology, users are strongly encouraged to stay updated with the platform’s latest updates and find the most suitable AI assistant through practical testing.

Users can easily change the model type in the domain creation settings of DMflow.chat to adapt to different application scenarios and requirements.