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Qwen 3 Max vs Gemini 2.5 Flash

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

Verdict

Gemini 2.5 Flash leads on LMSYS ELO (1312 vs 1295). Gemini 2.5 Flash is ~5.3× cheaper on a 3:1 input:output blend. Qwen 3 Max is open-weights, the other is proprietary.

Qwen

Qwen 3 Max

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

MultilingualOpen weightsCompetitive coding

Google DeepMind

Gemini 2.5 Flash

Google’s price/performance darling. 1M context at $0.30/M input — nobody comes close on throughput-per-dollar.

Absurd cost-to-context ratioFast multimodalFree tier via AI Studio

Pricing

Input / 1M$1.60$0.30

Output / 1M$6.40$1.20

Context128K1.0M

Max output16K32K

LicenseOpen weightsProprietary

Released2025-11-202026-02-05

Benchmarks

LMSYS ELO1295.01312.0

MMLU Pro84.082.1

HumanEval87.285.8

MATH85.184.2

MMMU71.874.6

IFEval85.586.1

Per-task cost

Summarize a 1-hour meeting transcript$0.027$0.0051

Review a 500-line pull request$0.026$0.0048

Answer a customer support ticket$0.0099$0.0019

Extract structured data from a resume$0.014$0.0027

Debug a stack trace with context$0.022$0.0042

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

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