Qwen vs GPT vs Claude vs DeepSeek: Choosing the Right LLM

Introduction

Selecting the right large language model (LLM) can determine product quality, cost efficiency, and scalability. CTOs, PMs, and founders face a crowded field where models differ sharply in reasoning, mathematics, code capability, and operational costs.

Key Evaluation Criteria

Before comparing specific models, align on the core performance factors:

• Reasoning capability: How well does the model handle multi-step logic?
• Mathematical precision: Accuracy in symbolic and numerical tasks.
• Code generation: Quality of produced code, correctness, and maintainability.
• Latency & throughput: Speed and parallel request handling.
• Cost & scalability: Price per million tokens and infrastructure compatibility.

Qwen's Unique Strengths

Advanced Reasoning

Qwen's architecture focuses heavily on reasoning depth, producing consistent chain-of-thought progressions without needing excessive prompt engineering. For example, complex scheduling problems or decision-tree analyses are solved efficiently.

Mathematical Accuracy

Qwen excels in symbolic algebra, calculus, and applied math scenarios like optimization or data modeling. Test results show fewer errors in multi-step calculations compared to GPT or Claude.

Code Expertise

For coding tasks, Qwen produces reliable, compile-ready outputs in languages such as Python, JavaScript, and Rust. Debugging suggestions are clear and context-aware, reducing iteration cycles for developers.

GPT Overview

Strengths

• Extensive general knowledge
• Natural text fluency that suits customer-facing use cases

Limitations

• Higher costs at scale: $1.00 input / $8.00 output per 1M tokens via Wisdom-Gate (~20% lower than OpenRouter pricing)
• Occasional reasoning drift in complex tasks; requires prompt tuning

Claude Overview

Strengths

• Strong on safety filters and refusal handling
• Long context handling allows ingestion of large documents in one go

Limitations

• Price premium: $2.00 input / $10.00 output per 1M tokens via Wisdom-Gate (~30% lower than OpenRouter)
• Slower and less accurate in math-heavy prompts

DeepSeek Overview

Strengths

• High throughput speeds
• Flexible licensing and lower base costs

Limitations

• Limited benchmarking data in high-complexity reasoning

Cross-Model Comparison via JuheAPI

Testing across models is straightforward using Wisdom-Gate's unified API system.

AI Studio Testing

Interactive model evaluation at: https://wisdom-gate.juheapi.com/studio/chat

Model Page Reference

Qwen details: https://wisdom-gate.juheapi.com/models/qwen3-max

API Endpoint Example

Base URL: https://wisdom-gate.juheapi.com/v1

Example:

curl --location --request POST 'https://wisdom-gate.juheapi.com/v1/chat/completions' \ 
--header 'Authorization: YOUR_API_KEY' \ 
--header 'Content-Type: application/json' \ 
--header 'Accept: */*' \ 
--header 'Host: wisdom-gate.juheapi.com' \ 
--header 'Connection: keep-alive' \ 
--data-raw '{
    "model":"qwen3-max",
    "messages": [
      {
        "role": "user",
        "content": "Hello, how can you help me today?"
      }
    ]
}'

Pricing Snapshot

Practical Selection Guide

• Reasoning + Math priority: Qwen is optimized for precision in logic and calculations.
• Broad knowledge: GPT remains unmatched in breadth of general information.
• Safety & long context: Claude's refusal handling and large window excel here.
• Speed & budget fit: DeepSeek provides fast responses with cost advantages.

Implementation Tips

Integrating via Wisdom-Gate

Leverage the unified endpoint for consistent testing across models. This reduces integration complexity and makes head-to-head comparisons easier.

Ensure Fair Evaluation

Provide identical prompts to each model, record accuracy, latency, and token cost metrics.

Scaling Cost-Efficiently

• Batch requests to amortize overhead
• Monitor token consumption with real-time logging
• Use lower-cost models for background tasks

Conclusion

LLM choice should directly map model strengths to your product's core demands. With tools like JuheAPI and Wisdom-Gate, you can benchmark Qwen, GPT, Claude, and DeepSeek under identical conditions, making data-backed decisions that reduce cost and boost performance.