Claude 3 Opus vs Qwen-Long
Compare pricing, context windows, and strengths for Claude 3 Opus by Anthropic and Qwen-Long by Alibaba Cloud - and see how to put either to work in Appaca.
Claude 3 Opus
The most intelligent Claude 3 model, built for highly complex reasoning, analysis, and open-ended problem solving across any domain.
View Claude 3 OpusQwen-Long
Long-context model with 10M tokens for huge document analysis and summarization.
View Qwen-LongClaude 3 Opus vs Qwen-Long at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Claude 3 Opus | Qwen-Long |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model type | Text | Text |
| Context window | 200K tokens | 10M tokens |
| Input price | $15 / 1M tokens | $0.072 / 1M tokens |
| Output price | $75 / 1M tokens | $0.287 / 1M tokens |
| Status | Superseded by Claude 4.1 Opus | Current |
How Claude 3 Opus and Qwen-Long differ
What the numbers mean in practice when choosing between Claude 3 Opus and Qwen-Long.
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Qwen-Long is 100% cheaper on input tokens ($0.072 vs $15 per million), which adds up quickly in document-heavy workloads.
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Qwen-Long is 100% cheaper on output tokens ($0.287 vs $75 per million) - the bigger factor for tools that generate long documents.
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Qwen-Long's 10M tokens context window is roughly 50x larger than Claude 3 Opus's 200K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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Claude 3 Opus has been superseded by Claude 4.1 Opus - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Claude 3 Opus
1. Intelligence & Reasoning
- Highest capability in the Claude 3 family
- Near-human comprehension and fluency
- Excels at MMLU, GPQA, GSM8K, advanced reasoning tasks
2. Complex Problem Solving
- Best for research, strategy, multi-step planning
- Handles ambiguous, open-ended tasks with ease
3. Vision & Multimodal Capabilities
- Strong chart/graph understanding
- Processes documents, technical diagrams, and dense visual data
4. Recall & Long-Context Reasoning
- Near-perfect recall (>99% on NIAH benchmark)
- Handles very large documents and multi-file workflows
5. Enterprise-Grade Accuracy
- Significantly reduced hallucinations
- High correctness rate for factual queries
Qwen-Long
1. Extremely long context window
- Up to 10 million tokens.
2. Ideal for document-heavy workflows
- Legal, financial, RAG, compliance, research.
3. Low-cost for large-scale ingestion
- Optimized pricing for big inputs.
Use Claude 3 Opus or Qwen-Long - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Claude 3 Opus or Qwen-Long - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by Claude 3 Opus or Qwen-Long. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Claude 3 Opus, test the same tool on Qwen-Long, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by Claude 3 Opus or Qwen-Long - connected to the tools you already use.
Related comparisons
See how Claude 3 Opus and Qwen-Long stack up against other models in the directory.
FAQs
Qwen-Long is generally cheaper: $0.072 input / $0.287 output per million tokens, versus $15 / $75 for Claude 3 Opus. Actual cost depends on how many tokens your workload reads and writes.
Qwen-Long has the larger context window at 10M tokens, compared to 200K tokens for Claude 3 Opus. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on Claude 3 Opus, test the same tool on Qwen-Long, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by Claude 3 Opus, Qwen-Long, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with Claude 3 Opus or Qwen-Long
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.