Model Comparison

GPT-4.1 nano vs Kimi-k1.5

Kimi-k1.5 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4.1 nano outperforms in 0 benchmarks, while Kimi-k1.5 is better at 5 benchmarks (AIME 2024, IFEval, MathVista, MMLU, MMMU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 nano and Kimi-k1.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1 nano

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4.1 nano

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Kimi-k1.5 was released on 2025-01-20.

GPT-4.1 nano is 3 months newer than Kimi-k1.5.

GPT-4.1 nano

Apr 14, 2025

1.1 years ago

2mo newer
Kimi-k1.5

Jan 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Kimi-k1.5's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

GPT-4.1 nano

May 2024

Kimi-k1.5

Outputs Comparison

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Key Takeaways

Larger context window (1,047,576 tokens)
Higher AIME 2024 score (77.5% vs 29.4%)
Higher IFEval score (87.2% vs 74.5%)
Higher MathVista score (74.9% vs 56.2%)
Higher MMLU score (87.4% vs 80.1%)
Higher MMMU score (70.0% vs 55.4%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1 nano
Moonshot AI
Kimi-k1.5

FAQ

Common questions about GPT-4.1 nano vs Kimi-k1.5.

Which is better, GPT-4.1 nano or Kimi-k1.5?

Kimi-k1.5 significantly outperforms across most benchmarks. GPT-4.1 nano is made by OpenAI and Kimi-k1.5 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4.1 nano compare to Kimi-k1.5 in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for GPT-4.1 nano and Kimi-k1.5?

GPT-4.1 nano supports 1.0M tokens and Kimi-k1.5 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes GPT-4.1 nano and Kimi-k1.5?

GPT-4.1 nano is developed by OpenAI and Kimi-k1.5 is developed by Moonshot AI.