Build AI powered apps for your work

Get started free
LLM ComparisonClaude 4.5 SonnetQwen-Plus

Claude 4.5 Sonnet vs Qwen-Plus

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

Model Comparison

FeatureClaude 4.5 SonnetQwen-Plus
ProviderAnthropicAlibaba Cloud
Model Typetexttext
Context Window1,000,000 tokens1,000,000 tokens
Input Cost
$3.00/ 1M tokens
$0.12/ 1M tokens
Output Cost
$15.00/ 1M tokens
$0.29/ 1M tokens

Stop choosing. Use both.

With Appaca you don't have to pick — build apps that are powered by Claude 4.5 Sonnet, Qwen-Plus, for your specific use case.

Build your first app free

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.

Qwen-Plus

Alibaba Cloud

1. Excellent balance of performance and cost

  • Faster and cheaper than Max but still powerful.

2. Optional thinking mode

  • Enhanced reasoning when needed.
  • Non-thinking mode is very fast and cheap.

3. Huge context window

  • Up to 1M tokens for long-document workflows.

4. Strong multilingual understanding

  • Supports 100+ languages.