Qwen 3.5 vs GPT-5

Comprehensive comparison between Alibaba (Qwen)'s Qwen 3.5 and OpenAI's GPT-5. Compare pricing, performance, features, and user reviews.

qwen vs gptalibaba ai vs openai

Specs Comparison

SpecificationQwen 3.5GPT-5
Context Window262K400K
Max Output32K128K
Input (per 1M tokens)$0.39$1.25
Output (per 1M tokens)$1.56$10.00
Reasoning
Open Source

Scenario Score Comparison

Coding
87
vs
86
Writing
82
vs
92
Translation
vs
93
Data Analysis
vs
91
Conversation
vs
94
Image Gen
vs
90
Research
vs
89
App Building
vs
88

Qwen 3.5

Pros

  • + Open source (Apache 2.0)
  • + Self-hostable with vLLM
  • + 201 language support
  • + MoE efficiency (17B active)
  • + Cheapest API among frontier-class
  • + Strong vision/multimodal performance

Cons

  • Weaker on hard coding tasks vs Opus/GPT
  • Requires significant VRAM for local hosting
  • Quantization affects complex reasoning
  • Smaller context than GPT-5.4/Opus 4.6

GPT-5

Pros

  • + Highly competitive pricing
  • + Most comprehensive multimodal
  • + DALL-E integration
  • + Largest ecosystem

Cons

  • Coding inferior to Claude Opus
  • Launch quality issues
  • Black-box architecture

Recommendation

Choose Qwen 3.5 if you:

  • Need open source (apache 2.0)
  • Need self-hostable with vllm
  • Need 201 language support

Choose GPT-5 if you:

  • Need highly competitive pricing
  • Need most comprehensive multimodal
  • Need dall-e integration

Based on scores across 8 scenarios, GPT-5 performs better overall.

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