Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o...
gpt-4.1 is a Multimodal model from OpenAI (US). HotON.ai tracks it at $2.00 per 1M input tokens and $8.00 per 1M output tokens, with a 1048K-token context window. Its composite efficiency score is 93/100 at an estimated $0.008 per successful task.
gpt-4.1 is tracked at $2.00 per 1M input tokens and $8.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $6.50 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gpt-4.1 supports up to a 1048K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-4.1 is cheaper than 15% of models on input price and ranks #50 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — gpt-4.1 (OpenAI): $2.00/1M input, $8.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-4-1Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.