GPT-4.1 vs GPT-4.1 Nano
Compare pricing, context windows, and strengths for GPT-4.1 by OpenAI and GPT-4.1 Nano 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-4.1 Nano
Fastest and most cost-efficient GPT-4.1 model with strong instruction following, tool calling, and a 1M-token context window for lightweight, real-time tasks.
View GPT-4.1 NanoGPT-4.1 vs GPT-4.1 Nano at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-4.1 | GPT-4.1 Nano |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Text |
| Context window | 1.05M tokens | 1.05M tokens |
| Input price | $2 / 1M tokens | $0.1 / 1M tokens |
| Output price | $8 / 1M tokens | $0.4 / 1M tokens |
| Status | Superseded by GPT-5.1 | Superseded by GPT-5 Mini |
How GPT-4.1 and GPT-4.1 Nano differ
What the numbers mean in practice when choosing between GPT-4.1 and GPT-4.1 Nano.
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GPT-4.1 Nano is 95% cheaper on input tokens ($0.1 vs $2 per million), which adds up quickly in document-heavy workloads.
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GPT-4.1 Nano is 95% cheaper on output tokens ($0.4 vs $8 per million) - the bigger factor for tools that generate long documents.
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Both models offer the same 1.05M tokens context window.
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GPT-4.1 has been superseded by GPT-5.1 - for new builds, consider the newer model first.
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GPT-4.1 Nano has been superseded by GPT-5 Mini - for new builds, consider the newer model first.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-4.1 Nano
1. Ultra-Fast, Low-Latency Performance
- The fastest model in the GPT-4.1 family, ideal for real-time interactions and high-throughput applications.
- Designed for scenarios where speed matters more than complex reasoning.
2. Most Cost-Efficient GPT-4.1 Variant
- Lowest price point among GPT-4.1 models.
- Enables large-scale deployments such as support bots, routing systems, and lightweight assistants without high compute costs.
3. Solid Instruction Following
- Consistent and reliable at following clear instructions.
- Well-suited for:
- Classification
- Simple reasoning
- Data extraction
- Content rewriting
- Chat-style responses
4. Strong Tool Calling Capabilities
- Built with robust support for:
- Function calling
- Structured outputs (e.g., JSON)
- Lightweight automation tasks
- Works well within multi-step agent workflows that rely on simple tools.
5. Basic Multimodal Input
- Supports text and image input.
- Useful for:
- Simple visual recognition
- Alt-text generation
- Reading graphics or screenshots
6. Text-Only Output
- Produces text only, ensuring:
- Clean structured outputs
- High reliability for downstream processing
- Ease of integration into backend systems
7. 1M-Token Context Window
- Supports up to 1,047,576 tokens, allowing:
- Long documents
- Multiple files
- Large prompt memory
- Reduces or eliminates the need for chunking and retrieval in many simple workflows.
8. Ideal Use Cases
- Customer support bots
- Routing and intent detection
- Simple agents and workflow automation
- Content cleanup and rewriting
- Basic Q&A, summaries, and extraction
9. Broad API Integration
- Available across major API endpoints:
- Chat Completions
- Responses
- Realtime
- Assistants
- Fine-tuning
- Supports predicted outputs for reliability and determinism.
Use GPT-4.1 or GPT-4.1 Nano - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4.1 or GPT-4.1 Nano - 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-4.1 Nano. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-4.1, test the same tool on GPT-4.1 Nano, 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-4.1 Nano - connected to the tools you already use.
Related comparisons
See how GPT-4.1 and GPT-4.1 Nano stack up against other models in the directory.
FAQs
GPT-4.1 Nano is generally cheaper: $0.1 input / $0.4 output per million tokens, versus $2 / $8 for GPT-4.1. Actual cost depends on how many tokens your workload reads and writes.
They are equal: both GPT-4.1 and GPT-4.1 Nano support a 1.05M 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-4.1, test the same tool on GPT-4.1 Nano, 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-4.1 Nano, 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-4.1 Nano
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.