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Qwen 3 Max vs GPT-5 Turbo
Qwen vs OpenAI. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
GPT-5 Turbo leads on LMSYS ELO (1398 vs 1295). Qwen 3 Max is ~3.7× cheaper on a 3:1 input:output blend. Qwen 3 Max is open-weights, the other is proprietary.
Qwen
Qwen 3 MaxAlibaba’s flagship. Strongest non-English coverage of any open model; dominant in Asian markets.
MultilingualOpen weightsCompetitive coding
OpenAI
GPT-5 TurboOpenAI’s flagship unified model. Handles text, vision, and audio natively. The generalist benchmark champion.
Native multimodalStrong math and scienceHuge ecosystem
Pricing
Input / 1M$1.60$6.00
Output / 1M$6.40$24.00
Context128K400K
Max output16K32K
LicenseOpen weightsProprietary
Released2025-11-202026-01-21
Benchmarks
LMSYS ELO1295.01398.0
MMLU Pro84.091.2
HumanEval87.293.0
SWE-Bench—65.8
MATH85.191.5
GPQA—68.1
MMMU71.878.8
IFEval85.588.9
Per-task cost
Summarize a 1-hour meeting transcript$0.027$0.102
Review a 500-line pull request$0.026$0.096
Answer a customer support ticket$0.0099$0.037
Extract structured data from a resume$0.014$0.054
Debug a stack trace with context$0.022$0.084
Per-call cost using published token counts for each task. Real-world prompts vary.