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o4 vs Qwen 3 Max

OpenAI vs Qwen. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

Qwen 3 Max is ~9.4× cheaper on a 3:1 input:output blend. Qwen 3 Max is open-weights, the other is proprietary.

OpenAI

Deep-reasoning model. Spends more tokens thinking to crush math, science, and hard coding problems.

State-of-the-art math and scienceExtremely high-ceiling reasoning

Qwen

Alibaba’s flagship. Strongest non-English coverage of any open model; dominant in Asian markets.

MultilingualOpen weightsCompetitive coding

Pricing

Input / 1M$15.00$1.60

Output / 1M$60.00$6.40

Context200K128K

Max output100K16K

LicenseProprietaryOpen weights

Released2026-02-182025-11-20

Benchmarks

LMSYS ELO—1295.0

MMLU Pro93.884.0

HumanEval92.387.2

SWE-Bench68.0—

MATH96.285.1

GPQA82.5—

MMMU—71.8

IFEval—85.5

Per-task cost

Summarize a 1-hour meeting transcript$0.255$0.027

Review a 500-line pull request$0.240$0.026

Answer a customer support ticket$0.093$0.0099

Extract structured data from a resume$0.135$0.014

Debug a stack trace with context$0.210$0.022

Per-call cost using published token counts for each task. Real-world prompts vary.

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