Model Comparison

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

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

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.

Kimi K2 Instruct

Moonshot AI

2025-01-01

Gemini Diffusion

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Kimi K2 Instruct

Larger context

Max Context:144.0K

Parameters:1.0T

Average performance across 3 common benchmarks

Gemini Diffusion

Average Score:51.1%

Kimi K2 Instruct

+21.5%

Average Score:72.6%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Kimi K2 Instruct

code

+19.0%

79.5%

general

+24.1%

62.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s

Latency: 0.95ms

Gemini Diffusion

Avg Score:51.1%

Providers:0

Kimi K2 Instruct

+21.5%

Avg Score:72.6%

Providers:1