Meet GPT-4.1, OpenAI’s latest family of AI models, setting new benchmarks in the world of artificial intelligence. Released in April 2025, GPT-4.1 and its compact siblings – GPT-4.1 mini and GPT-4.1 nano – are tailored for developers, delivering enhanced programming capabilities, expanded context windows, and ultra-fast performance.
π Whatβs New in GPT-4.1?
- 1 Million Token Context Window: GPT-4.1 can now process texts exceeding 750,000 words β longer than War and Peace β all in a single input. This is a major leap for developers dealing with large codebases or long documents.
- Exceptional Coding and Instruction Following: OpenAI reports GPT-4.1 performs better on programming benchmarks such as SWE-bench, showing more precision, fewer unnecessary edits, and greater format fidelity.
- Model Access: These models are currently accessible only via API and havenβt yet been rolled out to the ChatGPT interface.
π‘ GPT-4.1 vs the Competition
The launch of GPT-4.1 comes as tech giants race to dominate the coding AI space. Hereβs how GPT-4.1 stacks up:
Model | Context Window | Key Strengths | Access |
---|---|---|---|
GPT-4.1 | 1M tokens | Accuracy, long-context coding | API only |
Gemini 2.5 Pro | 1M tokens | Top performance in benchmarks | Via Google AI |
Claude 3.7 | ~200K tokens (est.) | Context-aware reasoning | Anthropic API |
DeepSeek V3 | 128K+ tokens (est.) | Efficient code generation | Open release |
Note: Context window estimates are based on official documentation and public benchmarks. Values may vary depending on model version or API tier.
β‘ Model Variants and Pricing
Model | Input (per 1M tokens) | Output (per 1M tokens) | Speed | Intelligence Level |
---|---|---|---|---|
GPT-4.1 | $2.00 | $8.00 | β‘β‘ | ββββ |
GPT-4.1 mini | $0.40 | $1.60 | β‘β‘β‘β‘ | βββ |
GPT-4.1 nano | $0.10 | $0.40 | β‘β‘β‘β‘β‘ | ββ |
π― Use Cases and Capabilities
- Autonomous Software Engineering: OpenAI envisions future agents capable of handling end-to-end app development β testing, debugging, documentation β all powered by models like GPT-4.1.
- Video Understanding: GPT-4.1 achieved 72% accuracy on the Video-MME benchmark, making strides in long-form video comprehension.
- Improved Reasoning, but with Limits: Internal tests show that while performance is impressive, accuracy can drop with ultra-long inputs β from ~84% at 8K tokens to ~50% at 1M tokens.
- Literal Interpretation: Compared to GPT-4o, GPT-4.1 tends to interpret prompts more literally, benefiting from clear and direct instructions.
π The Road Ahead
GPT-4.1 is a significant evolution in OpenAIβs roadmap. While it brings unmatched capabilities in long-context reasoning and instruction following, it’s also laying the groundwork for more advanced agents β with future versions like o3 and o4 mini already surfacing in development leaks.
As we await integration into ChatGPT, developers and businesses can begin leveraging the full power of GPT-4.1 through the OpenAI API.