Which is cheaper, Composer 2 Fast or GPT-4.1 nano?
As of August 20, 2026, GPT-4.1 nano is 94% cheaper on blended LLM API pricing. GPT-4.1 nano costs $0.10 per million input tokens and $0.40 per million output tokens ($0.50 blended 1M-in + 1M-out). Composer 2 Fast costs $1.50 / $7.50 per million tokens ($9.00 blended). Sources: https://cursor.com/docs/models/cursor-composer-2 and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Composer 2 Fast vs GPT-4.1 nano cost per million tokens?
Composer 2 Fast Cursor API pricing is $1.50 input and $7.50 output per million tokens via Cursor. GPT-4.1 nano OpenAI API pricing is $0.10 input and $0.40 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Composer 2 Fast or GPT-4.1 nano?
GPT-4.1 nano has a published LiveCodeBench score of 42.7%. Composer 2 Fast does not have that eval on this page yet.
What is the context window for Composer 2 Fast vs GPT-4.1 nano?
Composer 2 Fast supports a 200K token context window, while GPT-4.1 nano supports 1M tokens. GPT-4.1 nano offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Composer 2 Fast or GPT-4.1 nano?
Shared benchmark scores for Composer 2 Fast and GPT-4.1 nano are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Composer 2 Fast or GPT-4.1 nano better for production use?
Both Composer 2 Fast and GPT-4.1 nano are production API models. For cost-sensitive production traffic, GPT-4.1 nano has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Composer 2 Fast and GPT-4.1 nano in my app?
Yes. Call Composer 2 Fast through Cursor and GPT-4.1 nano through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Composer 2 Fast vs GPT-4.1 nano pricing data?
List rates are the latest published Cursor API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://cursor.com/docs/models/cursor-composer-2 and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Composer 2 Fast and GPT-4.1 nano?
Composer 2 Fast supports up to an unspecified number of output tokens per request, while GPT-4.1 nano supports up to 33K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Composer 2 Fast or GPT-4.1 nano?
GPT-4.1 nano has a measured throughput of approximately 200 tokens/second. Throughput data for Composer 2 Fast is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Composer 2 Fast vs GPT-4.1 nano comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Composer 2 Fast or GPT-4.1 nano from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
