Grok 3 vs Qwen-Long
Compare pricing, context windows, and strengths for Grok 3 by xAI and Qwen-Long by Alibaba Cloud - and see how to put either to work in Appaca.
Grok 3
A high-performance enterprise model for coding, extraction, reasoning, and domain-expert tasks across finance, healthcare, law, and science.
View Grok 3Qwen-Long
Long-context model with 10M tokens for huge document analysis and summarization.
View Qwen-LongGrok 3 vs Qwen-Long at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | Grok 3 | Qwen-Long |
|---|---|---|
| Provider | xAI | Alibaba Cloud |
| Model type | Text | Text |
| Context window | 131.1K tokens | 10M tokens |
| Input price | $3 / 1M tokens | $0.072 / 1M tokens |
| Output price | $15 / 1M tokens | $0.287 / 1M tokens |
| Status | Current | Current |
How Grok 3 and Qwen-Long differ
What the numbers mean in practice when choosing between Grok 3 and Qwen-Long.
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Qwen-Long is 98% cheaper on input tokens ($0.072 vs $3 per million), which adds up quickly in document-heavy workloads.
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Qwen-Long is 98% cheaper on output tokens ($0.287 vs $15 per million) - the bigger factor for tools that generate long documents.
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Qwen-Long's 10M tokens context window is roughly 76.3x larger than Grok 3's 131.1K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
Grok 3
1. Strong enterprise-grade reasoning
- Built for deep logical reasoning, structured decision-making, and multi-step analysis.
- Performs exceptionally in domains requiring precision: law, finance, healthcare, and STEM.
2. Excellent at data extraction and summarization
- Optimized for structured extraction from documents, PDFs, tables, and complex text.
- Ideal for enterprise workflows like reporting, compliance automation, or knowledge mining.
3. High-performance coding capabilities
- Excels at code generation, debugging, refactoring, and explaining code.
- Competitive with top-tier coding models for multi-file, long-context code reasoning.
4. Supports function calling and structured outputs
- Integrates cleanly with agent frameworks and external tools.
- Predictable, schema-aligned responses suitable for production systems.
5. Large 131K context window
- Handles long documents, transcripts, contracts, codebases, or multi-document tasks.
- Useful for ingesting highly technical materials in one pass.
6. Efficient cost structure with cached token pricing
- Cached inputs: only $0.75 / 1M tokens, enabling large-scale systems.
- Encourages reuse for powerful retrieval-augmented workflows.
7. Enterprise reliability and availability
- Supported across multiple regions (us-east-1, eu-west-1).
- Consistent rate limits: 600 requests/min.
- Suitable for production-grade apps with stability requirements.
8. Supports advanced search capabilities
- Optional Live Search add-on for real-time knowledge retrieval.
- Pricing: $25 per 1K sources.
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 Grok 3 or Qwen-Long - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by Grok 3 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 Grok 3 or Qwen-Long. No code, no API keys, no deployment.
Switch models without rebuilding
Start on Grok 3, 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 Grok 3 or Qwen-Long - connected to the tools you already use.
Related comparisons
See how Grok 3 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 $3 / $15 for Grok 3. Actual cost depends on how many tokens your workload reads and writes.
Qwen-Long has the larger context window at 10M tokens, compared to 131.1K tokens for Grok 3. 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 Grok 3, 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 Grok 3, 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 Grok 3 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.