GPT-4.1 vs GPT-OSS 120B
Compare pricing, context windows, and strengths for GPT-4.1 by OpenAI and GPT-OSS 120B by OpenAI - and see how to put either to work in Appaca.
GPT-4.1
A highly capable non-reasoning model that excels at instruction following, tool calling, and broad domain knowledge with a 1M-token context window.
View GPT-4.1GPT-OSS 120B
OpenAI's most powerful open-weight model (117B params, 5.1B active), fitting on a single H100 GPU - fully customizable, licensed for unrestricted commercial use.
View GPT-OSS 120BGPT-4.1 vs GPT-OSS 120B at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-4.1 | GPT-OSS 120B |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Text |
| Context window | 1.05M tokens | 131.1K tokens |
| Input price | $2 / 1M tokens | Free (open weight) |
| Output price | $8 / 1M tokens | Free (open weight) |
| Status | Superseded by GPT-5.1 | Current |
How GPT-4.1 and GPT-OSS 120B differ
What the numbers mean in practice when choosing between GPT-4.1 and GPT-OSS 120B.
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GPT-OSS 120B is an open-weight model with no per-token licensing fees, while GPT-4.1 charges $2 per million input tokens.
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GPT-4.1's 1.05M tokens context window is roughly 8.0x larger than GPT-OSS 120B's 131.1K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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GPT-4.1 has been superseded by GPT-5.1 - for new builds, consider the newer model first.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-4.1
1. Smartest non-reasoning model
- Highest intelligence among models without a reasoning step.
- Great for tasks where speed + accuracy matter without deep chain-of-thought.
2. Excellent instruction following
- Very strong at structured tasks, formatting, and precise execution.
- Ideal for productized workflows and deterministic outputs.
3. Reliable tool calling
- Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
- Supports MCP and advanced tool-enabled API flows.
4. Large 1M-token context window
- Allows extremely long conversations, large documents, and multi-file use cases.
- Handles context-heavy tasks without requiring chunking.
5. Low latency (no reasoning step)
- Faster responses than GPT-5 family when reasoning mode isn't required.
- More predictable timing for production use.
6. Multimodal input
- Accepts text + image.
- Output is text only.
7. Supports fine-tuning
- Can be fine-tuned for specialized tasks.
- Also supports distillation for smaller custom models.
GPT-OSS 120B
1. Most powerful open-weight model
- 117B parameters (5.1B active) while fitting on a single H100 GPU.
- High reasoning quality compared to other open models.
2. Apache 2.0 license
- Fully permissive, no copyleft or patent restrictions.
- Safe for commercial products, research, and redistribution.
3. Configurable reasoning effort
- Supports adjustable reasoning: low, medium, high.
- Lets developers balance latency vs. depth.
4. Full chain-of-thought access
- Unlike closed commercial models, this exposes complete reasoning traces.
- Useful for debugging, auditing, safety research, and transparency.
5. Fine-tunable
- Fully supports parameter fine-tuning.
- Can be adapted to domain-specific workflows and proprietary datasets.
6. Agentic capabilities
- Built-in function calling.
- Native support for web browsing, Python execution, and structured outputs.
- Ideal for open-source agents, full-stack automation, and developer tooling.
7. Tooling ecosystem support
- Compatible with Chat Completions, Responses API, Assistants, Realtime, Batch, and Fine-tuning endpoints.
- Supports Image Generation, Code Interpreter (via Python runtime), and more.
8. Open-source availability
- Downloadable on HuggingFace for local or on-prem deployment.
- Supports full offline, private, or self-hosted usage.
9. Streaming + function calling support
- Real-time interactions.
- Strong for interactive agents, coding assistants, and UI-driven workflows.
Use GPT-4.1 or GPT-OSS 120B - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4.1 or GPT-OSS 120B - 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-4.1 or GPT-OSS 120B. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-4.1, test the same tool on GPT-OSS 120B, 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-4.1 or GPT-OSS 120B - connected to the tools you already use.
Related comparisons
See how GPT-4.1 and GPT-OSS 120B stack up against other models in the directory.
FAQs
GPT-OSS 120B is open weight and free of per-token licensing fees, while GPT-4.1 costs $2 per million input tokens and $8 per million output tokens.
GPT-4.1 has the larger context window at 1.05M tokens, compared to 131.1K tokens for GPT-OSS 120B. 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-4.1, test the same tool on GPT-OSS 120B, 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-4.1, GPT-OSS 120B, 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-4.1 or GPT-OSS 120B
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.