LLM ComparisonClaude 4.5 SonnetQwen3-Max

Claude 4.5 Sonnet vs Qwen3-Max

Compare Claude 4.5 Sonnet and Qwen3-Max. Build AI products powered by either model on Appaca.

Model Comparison

FeatureClaude 4.5 SonnetQwen3-Max
ProviderAnthropicAlibaba Cloud
Model Typetexttext
Context Window1,000,000 tokens262,144 tokens
Input Cost
$3.00/ 1M tokens
$0.86/ 1M tokens
Output Cost
$15.00/ 1M tokens
$3.44/ 1M tokens

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Strengths & Best Use Cases

Claude 4.5 Sonnet

Anthropic

1. Best-in-class coding performance

  • #1 on SWE-bench Verified (77.2% standard, 82.0% high-compute).
  • Excels at debugging, architecture, and multi-file code generation.
  • Maintains coherence for extremely long tasks (30+ hours).

2. State-of-the-art computer use & agents

  • Leads OSWorld at 61.4%.
  • Strongest model for agentic workflows, multi-step tool use, and real computer control.
  • Powering Claude Code, the new Claude Agent SDK, and Chrome agent actions.

3. Advanced reasoning & math

  • Large improvements across reasoning-heavy benchmarks (AIME, MMMLU, τ2-bench, Terminal-Bench).
  • Deep multi-step reasoning with extended or interleaved thinking.

4. High alignment & safety

  • Most aligned Claude model to date with reduced deception, hallucinations, sycophancy, and harmful compliance.
  • Strong protections against prompt injection for agentic tasks (ASL-3 safeguards).

5. Domain-expert performance

  • Notable gains in finance, law, medicine, and STEM tasks.
  • Trusted by early customers for long-context legal analysis, multi-file engineering, security research, and red-teaming.

Qwen3-Max

Alibaba Cloud

1. Best performance in Qwen3 series

  • Handles complex multi-step reasoning.
  • Excellent for agent programming and tool calling.

2. Massive context window

  • 262K tokens enable long multi-document tasks.
  • Useful for RAG pipelines, analysis, and long-form workflows.

3. Tiered pricing support

  • More cost-efficient for small requests.
  • Supports context caching for repeated inputs.

4. Strong general-purpose intelligence

  • High accuracy in coding, reasoning, and structured tasks.
  • Reliable for enterprise automation.

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