GPT-4.1 nano vs Kimi K2.5
We don't benchmark GPT-4.1 nano or Kimi K2.5 on Vision Evals. GPT-4.1 nano is proprietary under Proprietary: commercial use per vendor terms. Kimi K2.5 is open-weight under Modified MIT. GPT-4.1 nano is cheaper per token ($0.10/M vs $0.50/M input).
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GPT-4.1 nano is deprecated and can no longer be run. Details and evals are still available on its model page.
GPT-4.1 nano vs Kimi K2.5 Comparison Table
Pricing updated November 1, 2026
| Property | GPT-4.1 nano | Kimi K2.5 |
|---|---|---|
| Organization | OpenAI | Moonshot AI |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Apr 2025 | Jan 2026 |
| Context Window | 1.0M | 256K |
| Parameters | Unknown | 1T |
| License | Proprietary | Modified MIT |
| Commercial use | commercial use per vendor terms | See license terms |
| Pricing per 1M tokens | ||
| Input $/1M | $0.100 | $0.500 |
| Output $/1M | $0.400 | $2.50 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Object Detection | Supported | Not listed |
| Model Features | ||
Both support 3 more features | ||
GPT-4.1 nano vs Kimi K2.5: Overview
GPT-4.1 nano, released by OpenAI in April 2025, is the smallest and most cost-efficient member of the GPT-4.1 family. It is multimodal, supporting both text and image inputs, and retains the family’s extended 1 million-token context window—allowing it to handle large documents or codebases despite its lightweight design. Its training knowledge extends to June 2024.
GPT-4.1 nano prioritizes speed and affordability over raw reasoning power. While less capable than GPT-4.1 and GPT-4.1 mini, it is well-suited for high-volume or latency-sensitive workloads such as classification, autocomplete, content moderation, and lightweight assistants. This makes it an attractive option for developers seeking scalable deployment where efficiency is more critical than deep reasoning.
Kimi K2.5 is a frontier-scale multimodal AI model developed by Moonshot AI and released on January 27, 2026. As a significant advancement within the Kimi K2 family, it utilizes a sparse Mixture-of-Experts (MoE) architecture with 1 trillion total parameters (32 billion active per inference) and a massive 256K-token context window. The model features native multimodal integration via a 400M-parameter MoonViT encoder, allowing it to process text, images, and video frames simultaneously. Built for both speed and depth, it offers "Instant" and "Thinking" modes, the latter of which excels at expert-level reasoning, scoring 50.2% on the Humanity’s Last Exam (HLE) benchmark when equipped with tools.
The model is released under a Modified MIT License, which remains open-weight but requires attribution for high-revenue commercial entities. It introduces an "Agent Swarm" paradigm capable of coordinating up to 100 specialized sub-agents for parallel workflows, significantly reducing latency in complex research tasks. For vision tasks, Kimi K2.5 demonstrates strong autonomous visual debugging capabilities, where it can inspect its own generated UI outputs against visual specifications to iteratively refine frontend code. This makes it a powerful choice for developers testing automated UI reconstruction, high-fidelity OCR document processing, and multi-step agentic research grounded in complex visual data.