GPT-5.5 vs GPT-OSS 20B
Compare pricing, context windows, and strengths for GPT-5.5 by OpenAI and GPT-OSS 20B by OpenAI - 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-5.5GPT-OSS 20B
A 21-billion-parameter open-weight model from OpenAI, designed for efficient reasoning and long-context usage (≈ 128K tokens).
View GPT-OSS 20BGPT-5.5 vs GPT-OSS 20B at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.5 | GPT-OSS 20B |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Text |
| Context window | 1M tokens | 128K tokens |
| Input price | $5 / 1M tokens | Free (open weight) |
| Output price | $30 / 1M tokens | Free (open weight) |
| Status | Current | Current |
How GPT-5.5 and GPT-OSS 20B differ
What the numbers mean in practice when choosing between GPT-5.5 and GPT-OSS 20B.
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GPT-OSS 20B is an open-weight model with no per-token licensing fees, while GPT-5.5 charges $5 per million input tokens.
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GPT-5.5's 1M tokens context window is roughly 7.8x larger than GPT-OSS 20B's 128K 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.
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.
GPT-OSS 20B
- Open-weight / Apache 2.0 licensed: you can use, modify, and deploy freely (commercially & academically) under permissive terms.
- Large model size (≈ 21B parameters) with Mixture-of-Experts (MoE) architecture: only ~3.6B parameters active per token, yielding efficient inference.
- Very long context window support: up to ~128 K tokens (or ~131 K tokens per some sources) enabling in-depth reasoning, long documents, or multi-turn context.
- Adjustable reasoning effort: you can trade latency vs quality by tuning “reasoning effort” levels.
- Efficient hardware requirements (for its class): designed to run on a single 16 GB-class GPU or optimized local deployments for lower latency applications.
- Strong for tasks such as reasoning, tool-use, structured output, chain-of-thought debugging: because the model is open and you can inspect its chain of thought.
- Flexibility: since weights are available, you can self-host, fine-tune, or deploy offline, giving more control than closed API models.
Use GPT-5.5 or GPT-OSS 20B - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.5 or GPT-OSS 20B - 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 GPT-OSS 20B. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.5, test the same tool on GPT-OSS 20B, 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 GPT-OSS 20B - connected to the tools you already use.
Related comparisons
See how GPT-5.5 and GPT-OSS 20B stack up against other models in the directory.
FAQs
GPT-OSS 20B is open weight and free of per-token licensing fees, while GPT-5.5 costs $5 per million input tokens and $30 per million output tokens.
GPT-5.5 has the larger context window at 1M tokens, compared to 128K tokens for GPT-OSS 20B. 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 GPT-5.5, test the same tool on GPT-OSS 20B, 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, GPT-OSS 20B, 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 GPT-OSS 20B
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.