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

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Kimi K2 0905
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K 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.

Gemini 2.5 Pro
2025-05-20

Kimi K2 0905
Moonshot AI
2025-09-05
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Pro

Kimi K2 0905
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro

Kimi K2 0905
Average performance across 2 common benchmarks

Gemini 2.5 Pro

Kimi K2 0905
Performance comparison across key benchmark categories

Gemini 2.5 Pro

Kimi K2 0905
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro
ZeroEval

Kimi K2 0905
Novita

Gemini 2.5 Pro

Kimi K2 0905