Model Comparison

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

Kimi K2-Instruct-0905

Moonshot AI

Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. 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-Instruct-0905

Max Context:-

Parameters:1.0T

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 3 common benchmarks

Kimi K2-Instruct-0905

+26.9%

Average Score:84.8%

Llama 3.2 3B Instruct

Average Score:57.9%

Performance comparison across key benchmark categories

Kimi K2-Instruct-0905

code

56.9%

reasoning

60.1%

general

+27.4%

69.9%

math

+3.7%

65.0%

Llama 3.2 3B Instruct

code

+20.5%

77.4%

reasoning

+14.1%

74.2%

general

42.5%

math

61.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Kimi K2-Instruct-0905

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Kimi K2-Instruct-0905

+26.9%

Avg Score:84.8%

Providers:0

Llama 3.2 3B Instruct

Avg Score:57.9%

Providers:1