For Developers/Models/Compare/Claude Opus 4.7 vs Qwen 3

Claude Opus 4.7 vs Qwen 3

Pricing, benchmarks, and use case comparison

Quick take

  • Claude Opus 4.7 is meaningfully stronger at multimodal (90 vs 30 on our capability index).
  • Qwen 3 is meaningfully stronger at cost efficiency (90 vs 70).
  • Qwen 3 is open-weights (free to self-host); Claude Opus 4.7 is paid API only.
  • Claude Opus 4.7 has a 1M context window vs 128K tokens (32K for 0.6B/1.7B/4B dense variants) - better for whole-repo or long-document work.

Specs comparison

Claude Opus 4.7Qwen 3
ProviderAnthropicAlibaba (Qwen Team)
TypeClosed sourceOpen source
Context window1M128K tokens (32K for 0.6B/1.7B/4B dense variants)
Input / 1M tokens$5.00Free (self-host)
Output / 1M tokens$25.00Free (self-host)
Release date2026-042025-04

Benchmarks

BenchmarkClaude Opus 4.7Qwen 3
SWE-bench Verified87.6%-
SWE-bench Pro64.3%-
Qwen3-235B-A22B-235B total / 22B active
Qwen3-30B-A3B-30B total / 3B active

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose Claude Opus 4.7 if...

  • You have a pipeline pinned to Opus 4.7 and need stability
  • Your workload is vision-heavy and benefits from higher-resolution image input
  • You need top-tier coding with 1M context but haven't migrated to 4.8 yet
  • You want documented, broadly available Opus-class behavior
Full Claude Opus 4.7 details →

Choose Qwen 3 if...

  • You need an open, self-hostable model with a permissive license
  • You want to toggle deep reasoning on or off per request
  • Multilingual applications
  • Efficient inference via MoE with few active parameters
Full Qwen 3 details →

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