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Claude Opus 4.7 vs Qwen3 Max Thinking

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and Qwen3 Max Thinking.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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Alibaba

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...

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Technical Specifications

SpecificationClaude Opus 4.7Qwen3 Max Thinking
ProviderAnthropicAlibaba
Context Window1,000,000 tokens262,144 tokens
Agent Suitability96/100N/A
Time to First Token (TTFT)480 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162026-02-09

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Qwen3 Max Thinking

$0.78

Output Price per Million Tokens

Claude Opus 4.7

$25.00

Qwen3 Max Thinking

$3.90

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9410.0%vs9200.0%
Claude Opus 4.7
Qwen3 Max Thinking
HumanEvalPython coding & logic synthesis
9610.0%vs9650.0%
Claude Opus 4.7
Qwen3 Max Thinking
MATHComplex mathematical problem solving
9150.0%vs9120.0%
Claude Opus 4.7
Qwen3 Max Thinking
GPQAGraduate-level expert reasoning
8420.0%vs6200.0%
Claude Opus 4.7
Qwen3 Max Thinking
HellaSwagCommonsense reasoning and inference
9880.0%vs9120.0%
Claude Opus 4.7
Qwen3 Max Thinking
MT-BenchMulti-turn conversation flow quality
975.0%vs945.0%
Claude Opus 4.7
Qwen3 Max Thinking

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

Qwen3 Max Thinking Quirks & Gotchas

No developer gotchas reported.