GPT-4.1: OpenAI's Latest Flagship
GPT-4.1 is OpenAI's latest flagship model, succeeding GPT-4o with a massive 1M token context window, significantly improved instruction following, and strong coding performance.
Specifications
At a glance
Parameters
Undisclosed
Context Window
1,000,000 tokens
Training Data Cutoff
March 2025
Release Date
April 2025
Licence
Commercial (Proprietary)
Pricing (Input)
$2.00 per 1M tokens
Pricing (Output)
$8.00 per 1M tokens
Modalities
Text, Vision
Overview
About GPT-4.1
GPT-4.1 is OpenAI's newest flagship model, released in April 2025 as the successor to GPT-4o. The headline upgrade is a 1 million token context window — an 8x increase over GPT-4o's 128K — putting it on par with the largest context windows from Google and Anthropic. Combined with meaningfully improved instruction following and coding performance, GPT-4.1 represents OpenAI's response to the rapid advances from competing labs. Instruction following is where GPT-4.1 shines brightest. OpenAI specifically optimised the model to adhere more precisely to complex, multi-step prompts with detailed constraints. This makes it particularly effective for agentic workflows, structured output generation, and production applications where reliability matters. Coding performance has also improved substantially, with GPT-4.1 scoring higher on SWE-bench and similar benchmarks. GPT-4.1 is available through the OpenAI API and Azure OpenAI Service. It is priced competitively at $2.00/1M input tokens, making it cheaper than GPT-4o for input while delivering stronger performance. OpenAI also released GPT-4.1 mini and GPT-4.1 nano variants for cost-sensitive and latency-critical use cases.
Strengths
Capabilities
- 1M token context window for processing massive documents and codebases
- Significantly improved instruction following and constraint adherence
- Strong code generation, debugging, and software engineering
- Vision capabilities for image understanding and analysis
- Structured output generation with high reliability
- Function calling and tool use for agentic workflows
- Multiple size variants (full, mini, nano) for different use cases
Considerations
Limitations
- No native audio processing (unlike GPT-4o)
- Proprietary model with no self-hosting option
- Can still hallucinate, particularly on niche or recent topics
- Newer model with less production track record than GPT-4o
- Rate limits may constrain high-throughput production use cases
Best For
Ideal use cases
- Agentic workflows requiring precise instruction following
- Large codebase analysis and software engineering automation
- Long-document processing and multi-document synthesis
- Production applications needing reliable structured outputs
- Migration from GPT-4o for improved performance at similar cost
Pricing
Input: $2.00/1M tokens, Output: $8.00/1M tokens. GPT-4.1 mini: $0.40/$1.60. GPT-4.1 nano: $0.10/$0.40. Batch API available at 50% discount.
FAQ
Frequently asked questions
GPT-4.1 has a much larger context window (1M vs 128K), better instruction following, and stronger coding performance. GPT-4o retains native audio capabilities that GPT-4.1 lacks. GPT-4.1 is cheaper for input ($2.00 vs $2.50 per 1M tokens).
For new projects, GPT-4.1 is generally the better choice. For existing production workloads, evaluate whether improved instruction following and larger context justify any migration effort. The pricing is comparable, so the main consideration is compatibility.
GPT-4.1 mini ($0.40/1M input) is a smaller, faster variant for cost-sensitive production use. GPT-4.1 nano ($0.10/1M input) is the smallest and cheapest, designed for classification, routing, and latency-critical tasks.
Both offer 1M context windows and frontier intelligence. GPT-4.1 is significantly cheaper ($2.00 vs $15.00 input) and has better instruction following. Claude Opus 4.6 tends to excel at the hardest reasoning tasks and nuanced analysis. Choice depends on task complexity and budget.
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