Software Development · head to head
Cursor vs OpenAI API

OpenAI API
Machine Learning
Hosted API for OpenAI's language, embedding, image and audio models, billed per token
- From
- $0.15/per-million-tokens
- Rated
- -
The short version
- Only Cursor has a free tier, so it costs nothing to try first.
- Each has a real cost: Cursor cannot work fully offline; AI features require internet connection; OpenAI API cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself.
- They diverge on capability: Cursor covers AI code completion, OpenAI API covers Text and reasoning models.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Cursor and OpenAI API actually diverge.
| Attribute | Cursor | OpenAI API |
|---|---|---|
| Starting price | Free | $0.15/per-million-tokens |
| Pricing model | Unknown | usage-based |
| Free tier | Yes | No |
| Platforms | Windows, Macos, Linux | Api |
| Category | Software Development | Machine Learning |
| Founded | 2022 | 2015 |
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Cursor
- AI code completion
- Natural language editing
- Codebase chat
- Multi-file editing
- Code generation
- Bug fixing assistance
- Refactoring suggestions
- AI pair programming
Only in OpenAI API
- Text and reasoning models
- Embeddings
- Speech and audio
- Image generation
- Function calling
- Structured outputs
- Batch processing
- Prompt caching
What people use each for
The jobs each tool is most often brought in to do.
Cursor
- AI-assisted codingnot OpenAI API
- Code generationnot OpenAI API
- Bug fixingnot OpenAI API
- Refactoringnot OpenAI API
- Learning new codebasesnot OpenAI API
- Rapid prototypingnot OpenAI API
OpenAI API
- Adding summarisation, drafting or classification to an existing product where building a model would take longer than the product's whole roadmapnot Cursor
- Retrieval-augmented question answering over internal documents, using the embedding and generation models togethernot Cursor
- Extracting structured records from unstructured text, where schema-constrained output removes most of the parsing problemnot Cursor
- Prototyping a language feature quickly to find out whether it is worth the cost of a self-hosted alternative laternot Cursor
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cursor
- Cannot work fully offline; AI features require internet connection
- Local models require requests to route through Cursor's backend, not true localhost support
- Free tier capped at 2,000 completions per month
- Codebase indexing uploads code chunks to compute embeddings, with file caching handled server-side
OpenAI API
- Cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself.
- Models are deprecated on the vendor's timetable, and a fine-tuned model built on a retired base goes with it, so the tuning work and the data curation behind it must be redone rather than migrated.
- Behaviour shifts between model versions in ways no test catches unless you wrote one, so prompts tuned over months against a particular snapshot can regress quietly on migration, which makes an evaluation suite a prerequisite rather than an improvement.
- It cannot run inside your own network, so data residency requirements, air-gapped environments and contracts forbidding third-party processing rule it out regardless of the provider's own security posture.
- You inherit its availability and its rate limits, so a provider incident is an outage in your product and a traffic spike can be throttled at precisely the moment the feature is proving itself.
Pricing, plan by plan
Cursor
Free- HobbyFree
- 2,000 completions/month
- 50 slow premium requests
- Basic autocomplete
- Pro$20/month
- Unlimited completions
- 500 fast premium requests
- Composer multi-file editor
- Pro+$60/month
- 3x Pro limits on Agent requests
- Priority feature access
- Teams Standard$40/user/month
- All Individual Pro features
- Centralized billing
- SAML/OIDC SSO
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15/per-million-input-tokens
- Fast
- Affordable
- GPT-4o$5/per-million-input-tokens
- Multimodal
- 128K context
Which should you pick?
Choose Cursor if
- You need ai code completion.
- You want to start without paying.
- You work on Windows, Macos, Linux.
- You also want natural language editing.
Choose OpenAI API if
- You need text and reasoning models.
- You work on Api.
- You also want embeddings.
Questions people ask
- Is Cursor or OpenAI API better?
- Neither clearly leads. Cursor starts at Free and OpenAI API at $0.15/per-million-tokens, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cursor or OpenAI API?
- Cursor has a free tier; the other does not. Paid plans start at Free for Cursor and $0.15/per-million-tokens for OpenAI API.
- Does Cursor or OpenAI API run on more platforms?
- Cursor runs on Windows, Macos, Linux. OpenAI API runs on Api.
- Can I use Cursor for free?
- Yes. Cursor has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- What is Cursor best used for?
- Cursor is most often used for ai-assisted coding, code generation, bug fixing, refactoring. Of those, ai-assisted coding and code generation are not what OpenAI API is typically brought in for.
- What can Cursor do that OpenAI API cannot?
- Cursor covers AI code completion, Natural language editing, Codebase chat, Multi-file editing. OpenAI API covers Text and reasoning models, Embeddings, Speech and audio, Image generation.
Answered from the vendors’ own pages
Cursor: What's included in Cursor's free tier and what are its limits?
The free Hobby plan provides 2,000 completions per month and 50 slow premium requests, with access to basic autocomplete features. Codebase-wide indexing and the Composer multi-file editor are not available on the free plan.
SourceOpenAI API: Is my data used to train the models?
API inputs and outputs are not used for training by default, which differs from the consumer product. Retention periods and enterprise terms change, so read the current data usage policy rather than trusting a summary.
Cursor: Does Cursor require an internet connection to edit code?
While Cursor can open and edit files locally, its AI features including autocomplete, chat, agents, and codebase-aware reasoning require internet access to cloud-hosted models.
SourceOpenAI API: Can I run these models on my own hardware?
No. The weights are not distributed. If self-hosting is a requirement, you are looking at open-weight models instead, with the operational and quality trade-offs that implies.
Cursor: Can I use Cursor with local models running on my machine?
Cursor can integrate with local models, but requests still route through Cursor's backend for prompt building. True localhost mode without external endpoints is not supported. The paid plan ($20+/month) is required to use local models.
SourceOpenAI API: How is it priced?
Per token, with input and output priced differently and each model priced differently. Batch processing and cached input prefixes reduce it. The practical consequence is that your bill is a function of prompt design, not just of request count.
Cursor: What privacy controls does Cursor offer?
Cursor offers Privacy Mode (enabled on paid Team plans) which prevents customer data from being used for model training, with zero data retention agreements with all AI providers. When disabled, Cursor may use codebase data to improve features.
SourceOpenAI API: What is the difference from Azure OpenAI Service?
The same model family delivered by Microsoft under an Azure contract, with Azure identity, networking and regional controls, and a different release cadence for new models. Enterprises with an Azure agreement often choose it for procurement and data residency reasons rather than technical ones.
Cursor: What are the differences between Pro and Pro+ plans?
Pro ($20/month) includes unlimited completions and 500 fast premium requests, while Pro+ ($60/month) provides 3x those request limits, priority feature access, and extended Agent capabilities.
SourceOpenAI API: How do I keep the cost under control?
Cap input length, cache repeated prefixes, route easy requests to smaller models, use the batch path where latency does not matter, and set per-user limits before launch rather than after the first surprising invoice.
Cursor: Does Cursor support SSO and on which plan?
SSO with SAML/OIDC is included on Teams Standard ($40/user/month) and higher plans, with full team administration and audit logs.
SourceRelated pages
Other head to heads
- Cursor vs Zed
- Cursor vs Windsurf
- Cursor vs Amp
- Cursor vs Braintrust
- Cursor vs Devin
- Cursor vs Augment Code
- Cursor vs Baseten
- Cursor vs Cline
- Cursor vs Bun
- Cursor vs Factory
- Cursor vs Humanloop
- Cursor vs Langfuse
- Cursor vs Drizzle ORM
- Cursor vs Skaffold
- Cursor vs Cohere
- Cursor vs AWS SageMaker
- Cursor vs Google Vertex AI
- Cursor vs Azure Machine Learning
- Cursor vs DataRobot
- Cursor vs Fal AI
- Cursor vs BentoML
- Cursor vs Snowflake
- Cursor vs Hugging Face
- Cursor vs Python
- Cursor vs Ollama
- Cursor vs Neptune.ai
- Cursor vs Weka
- Cursor vs ClearML
- Cursor vs BigQuery ML
- Cursor vs Semantic Kernel
- OpenAI API vs Zed
- OpenAI API vs Windsurf
- OpenAI API vs Amp
- OpenAI API vs Braintrust
- OpenAI API vs Devin
- OpenAI API vs Augment Code
- OpenAI API vs Baseten
- OpenAI API vs Cline
- OpenAI API vs Bun
- OpenAI API vs Factory
- OpenAI API vs Humanloop
- OpenAI API vs Langfuse
- OpenAI API vs Drizzle ORM
- OpenAI API vs Skaffold
- OpenAI API vs Cohere
- OpenAI API vs AWS SageMaker
- OpenAI API vs Google Vertex AI
- OpenAI API vs Azure Machine Learning
- OpenAI API vs DataRobot
- OpenAI API vs Fal AI
- OpenAI API vs BentoML
- OpenAI API vs Snowflake
- OpenAI API vs Hugging Face
- OpenAI API vs Python
- OpenAI API vs Ollama
- OpenAI API vs Neptune.ai
- OpenAI API vs Weka
- OpenAI API vs ClearML
- OpenAI API vs BigQuery ML
- OpenAI API vs Semantic Kernel

