by OpenAI
The latest flagship multimodal model supports million-token context, with encoding capability (SWE-bench 54.6%) and instruction-following (Scale AI 38.3%) performance significantly surpassing GPT-4o, while reducing costs by 26%, making it suitable for complex tasks. Its automatic caching mechanism offers a 75% cost reduction on cache hits.
The latest flagship multimodal model supports million-token context, with encoding capability (SWE-bench 54.6%) and instruction-following (Scale AI 38.3%) performance significantly surpassing GPT-4o, while reducing costs by 26%, making it suitable for complex tasks. Its automatic caching mechanism offers a 75% cost reduction on cache hits.
gpt-4.1 has a 1,047,576 token context window.
On AIHubMix, gpt-4.1 costs $2 per million input tokens and $8 per million output tokens. Cached input reads are billed at $0.5 per million tokens.
gpt-4.1 accepts text and image input.
gpt-4.1 supports tool calling, function calling, structured outputs and long context. Per-protocol parameter support is listed in the capability table on this page.
gpt-4.1 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to gpt-4.1 — no other code changes needed.
gpt-4.1 is developed by OpenAI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Free version: gpt-4.1-free
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Use gpt-4.1 via the AIHubMix unified API — one interface for every major LLM.