Build AI powered apps for your work

Get started free
LLM ComparisonClaude 4.5 OpusQwen3-Plus

Claude 4.5 Opus vs Qwen3-Plus

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

Model Comparison

FeatureClaude 4.5 OpusQwen3-Plus
ProviderAnthropicAlibaba Cloud
Model Typetexttext
Context Window200,000 tokens1,000,000 tokens
Input Cost
$5.00/ 1M tokens
$0.12/ 1M tokens
Output Cost
$25.00/ 1M tokens
$0.29/ 1M tokens

Build AI powered apps

Create internal tools for your work that are powered by Claude 4.5 Opus, Qwen3-Plus, and other AI models. Just describe what you need and Appaca will create it for you.

Strengths & Best Use Cases

Claude 4.5 Opus

Anthropic

1. Maximum capability with more practical pricing

  • Anthropic introduced Opus 4.5 as its most intelligent model, combining maximum capability with practical performance.
  • It was positioned as the best model in the world for coding, agents, and computer use at launch, with pricing reduced to $5/M input and $25/M output.

2. Step-change gains for coding and advanced agent work

  • Anthropic describes Opus 4.5 as state-of-the-art on real-world software engineering tests.
  • It also improved everyday knowledge-work tasks like deep research, slides, and spreadsheets while staying strong on long-horizon agent workflows.

3. Better control over reasoning depth

  • Opus 4.5 introduced the effort parameter, letting developers trade off response thoroughness against token efficiency.
  • This made it easier to use one flagship model across both high-depth analysis and more cost-sensitive production workloads.

4. Stronger computer use and continuity

  • Added enhanced computer use with a zoom action for inspecting detailed screen regions.
  • Preserves prior thinking blocks across turns, helping the model maintain reasoning continuity in extended multi-step tasks.

Qwen3-Plus

Alibaba Cloud

1. Major upgrade over previous Plus models

  • Better reasoning, code generation, and tool-call performance.

2. Supports thinking vs non-thinking modes

  • Thinking for hard problems.
  • Non-thinking for speed.

3. Improved human preference alignment

  • Better writing quality, multi-turn memory, and formatting stability.

4. Excellent for agent-style apps

  • Accurate function calling and tool use.