Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

OpenAI

GPT-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

3 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 nano

$2.36 cheaper
Input:$0.10
Output:$0.40
Moonshot AI

Kimi K2 Instruct

Input:$0.57
Output:$2.29

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M
Moonshot AI

Kimi K2 Instruct

Max Context:144.0K
Parameters:1.0T

Average performance across 6 common benchmarks

OpenAI

GPT-4.1 nano

Average Score:43.2%
Moonshot AI

Kimi K2 Instruct

+29.8%
Average Score:73.0%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 nano

math
56.2%
code
74.5%
general
32.4%
agents
18.3%
Moonshot AI

Kimi K2 Instruct

math
+30.4%
86.6%
code
+5.0%
79.5%
general
+29.6%
62.0%
agents
+40.5%
58.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
OpenAI

GPT-4.1 nano

Avg Score:43.2%
Providers:1
Moonshot AI

Kimi K2 Instruct

+29.8%
Avg Score:73.0%
Providers:1