GPT-4.1
OpenAILarge Language ModelProprietaryThe latest evolution of the GPT-4 family with improved instruction following, coding, and long-context performance. Supports up to 1M token context window.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- Up to 1M token context window — can process entire codebases or book-length documents
- Significantly improved instruction following — better at multi-step and nuanced prompts
- Better at complex coding tasks — improved SWE-bench scores over GPT-4o
- Enhanced structured output reliability — fewer JSON/schema validation failures
- Lower cost than GPT-4o ($2.00 vs $2.50 per 1M input tokens)
Cons
- Closed source — same opacity concerns as other OpenAI models
- Still prone to hallucinations on complex factual queries
- Newer model with less community battle-testing than GPT-4o
- Long context queries significantly increase latency and cost
What to Use It For
Perfect For
1M context window fits massive codebases in a single prompt — no chunking needed
Handles book-length inputs with strong recall across the full context window
Significantly improved over GPT-4o at multi-step and nuanced prompts
Good For
Improved SWE-bench scores and better at understanding large code contexts
Enhanced structured output reliability with fewer JSON/schema validation failures
Not Recommended
Slower and more expensive than needed — overkill for straightforward questions
Try instead: GPT-4o, Claude 3.5 Haiku
Response latency is too high for sub-second interaction patterns
Try instead: Gemini 2.5 Flash
Do Not Use For
Closed source with no weights available — impossible to self-host
Try instead: Phi-4, Gemma 3
No native web browsing — knowledge is frozen at training cutoff
Try instead: Grok 3