For Developers/Models/Compare/GPT-4o vs Qwen 3

GPT-4o vs Qwen 3

Pricing, benchmarks, and use case comparison

Quick take

  • GPT-4o is meaningfully stronger at multimodal (80 vs 30 on our capability index).
  • Qwen 3 is meaningfully stronger at long context (80 vs 55).
  • Qwen 3 is open-weights (free to self-host); GPT-4o is paid API only.
  • Qwen 3 has a 128K tokens (32K for 0.6B/1.7B/4B dense variants) context window vs 128,000 tokens (16,384 max output) - better for whole-repo or long-document work.

Specs comparison

GPT-4oQwen 3
ProviderOpenAIAlibaba (Qwen Team)
TypeClosed sourceOpen source
Context window128,000 tokens (16,384 max output)128K tokens (32K for 0.6B/1.7B/4B dense variants)
Input / 1M tokens$2.50Free (self-host)
Output / 1M tokens$10.00Free (self-host)
Release date2024-052025-04

Benchmarks

BenchmarkGPT-4oQwen 3
MMLU88.7%-
HumanEval90.2%-
MATH76.6%-
Qwen3-235B-A22B-235B total / 22B active
Qwen3-30B-A3B-30B total / 3B active

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose GPT-4o if...

  • Everyday assistant, drafting, summarization, and classification tasks
  • Latency- and cost-sensitive applications at scale
  • Multimodal tasks needing image understanding with fast responses
Full GPT-4o details →

Choose Qwen 3 if...

  • You need an open, self-hostable model with a permissive license
  • You want to toggle deep reasoning on or off per request
  • Multilingual applications
  • Efficient inference via MoE with few active parameters
Full Qwen 3 details →

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