GPT-5.5 vs Qwen-Flash
Compare pricing, context windows, and strengths for GPT-5.5 by OpenAI and Qwen-Flash by Alibaba Cloud - and see how to put either to work in Appaca.
GPT-5.5
OpenAI's smartest and most capable model yet for agentic coding, knowledge work, and computer use, delivering a new class of intelligence at GPT-5.4 latency.
View GPT-5.5Qwen-Flash
The fastest and cheapest Qwen model, ideal for high-volume workloads.
View Qwen-FlashGPT-5.5 vs Qwen-Flash at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.5 | Qwen-Flash |
|---|---|---|
| Provider | OpenAI | Alibaba Cloud |
| Model type | Text | Text |
| Context window | 1M tokens | 1M tokens |
| Input price | $5 / 1M tokens | $0.022 / 1M tokens |
| Output price | $30 / 1M tokens | $0.216 / 1M tokens |
| Status | Current | Current |
How GPT-5.5 and Qwen-Flash differ
What the numbers mean in practice when choosing between GPT-5.5 and Qwen-Flash.
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Qwen-Flash is 100% cheaper on input tokens ($0.022 vs $5 per million), which adds up quickly in document-heavy workloads.
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Qwen-Flash is 99% cheaper on output tokens ($0.216 vs $30 per million) - the bigger factor for tools that generate long documents.
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Both models offer the same 1M tokens context window.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-5.5
1. Strongest Agentic Coding Model
- State-of-the-art on Terminal-Bench 2.0 (82.7%), Expert-SWE (73.1%), and SWE-Bench Pro (58.6%), outperforming GPT-5.4 on complex coding tasks.
- Holds context across large systems, reasons through ambiguous failures, and carries changes through surrounding codebases with fewer tokens.
2. Higher Intelligence at GPT-5.4 Latency
- Co-designed, trained, and served on NVIDIA GB200/GB300 NVL72 systems to match GPT-5.4 per-token latency while performing at a significantly higher level.
- Uses fewer tokens to complete the same tasks, making it more efficient as well as more capable.
3. Powerful for Knowledge Work & Computer Use
- Scores 84.9% on GDPval (44 occupations) and 78.7% on OSWorld-Verified for autonomous computer operation.
- Excels at generating documents, spreadsheets, and reports; naturally moves across finding information, using tools, and checking output.
4. Scientific Research Co-Scientist
- Leading performance on GeneBench, BixBench, and FrontierMath; helped discover a new proof about Ramsey numbers verified in Lean.
- Strong enough to meaningfully accelerate progress at the frontiers of biomedical and mathematical research.
Qwen-Flash
1. Ultra-fast, ultra-cheap
- Designed for mass-scale workloads.
- Excellent for rewriting, extraction, classification.
2. Limited reasoning but great utility
- High throughput, low latency.
3. Optional thinking mode
- Adds chain-of-thought when needed.
4. Supports context cache & batch calls
- Very cost-effective system design.
Use GPT-5.5 or Qwen-Flash - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.5 or Qwen-Flash - 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 GPT-5.5 or Qwen-Flash. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.5, test the same tool on Qwen-Flash, 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 GPT-5.5 or Qwen-Flash - connected to the tools you already use.
Related comparisons
See how GPT-5.5 and Qwen-Flash stack up against other models in the directory.
FAQs
Qwen-Flash is generally cheaper: $0.022 input / $0.216 output per million tokens, versus $5 / $30 for GPT-5.5. Actual cost depends on how many tokens your workload reads and writes.
They are equal: both GPT-5.5 and Qwen-Flash support a 1M tokens context window.
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 GPT-5.5, test the same tool on Qwen-Flash, 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 GPT-5.5, Qwen-Flash, 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 GPT-5.5 or Qwen-Flash
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.