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Gemini 2.5 Flash vs Qwen 3 Max

Google DeepMind vs Qwen. 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.

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

Qwen

Qwen 3 Max

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

MultilingualOpen weightsCompetitive coding

Pricing

Input / 1M$0.30$1.60

Output / 1M$1.20$6.40

Context1.0M128K

Max output32K16K

LicenseProprietaryOpen weights

Released2026-02-052025-11-20

Benchmarks

LMSYS ELO1312.01295.0

MMLU Pro82.184.0

HumanEval85.887.2

MATH84.285.1

MMMU74.671.8

IFEval86.185.5

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.027

Review a 500-line pull request$0.0048$0.026

Answer a customer support ticket$0.0019$0.0099

Extract structured data from a resume$0.0027$0.014

Debug a stack trace with context$0.0042$0.022

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

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