Model Comparison

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

Kimi K2 Base

Moonshot AI

Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). The model shows particular specialization in math tasks with an average performance of 81.2%. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Kimi K2 Base

Max Context:-

Parameters:1.0T

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 4 common benchmarks

Kimi K2 Base

+19.1%

Average Score:74.6%

Llama 3.2 3B Instruct

Average Score:55.5%

Performance comparison across key benchmark categories

Kimi K2 Base

math

+19.9%

81.2%

code

66.4%

general

+24.8%

67.3%

Llama 3.2 3B Instruct

math

61.3%

code

+11.0%

77.4%

general

42.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Kimi K2 Base

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Kimi K2 Base

+19.1%

Avg Score:74.6%

Providers:0

Llama 3.2 3B Instruct

Avg Score:55.5%

Providers:1