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Claude Opus 4.7 vs Qwen 3 Max
Anthropic vs Qwen. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1295). Qwen 3 Max is ~10.7× cheaper on a 3:1 input:output blend. Qwen 3 Max is open-weights, the other is proprietary.
Anthropic
Claude Opus 4.7Anthropic’s frontier reasoning model. Leads SWE-Bench and holds top ranks on long-context coding and agentic workflows.
Best-in-class coding agent behaviorStrong instruction following1M-token context with high recallHigh reliability under tool use
Qwen
Qwen 3 MaxAlibaba’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$75.00$6.40
Context1.0M128K
Max output64K16K
LicenseProprietaryOpen weights
Released2026-03-122025-11-20
Benchmarks
LMSYS ELO1412.01295.0
MMLU Pro92.884.0
HumanEval94.487.2
SWE-Bench72.1—
MATH89.385.1
GPQA66.4—
MMMU79.271.8
IFEval92.185.5
Per-task cost
Summarize a 1-hour meeting transcript$0.263$0.027
Review a 500-line pull request$0.270$0.026
Answer a customer support ticket$0.105$0.0099
Extract structured data from a resume$0.150$0.014
Debug a stack trace with context$0.240$0.022
Per-call cost using published token counts for each task. Real-world prompts vary.