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

Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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 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 2.5 Pro Preview 06-05
2025-06-05
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Pro Preview 06-05

Kimi K2 Instruct
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro Preview 06-05

Kimi K2 Instruct
Average performance across 5 common benchmarks

Gemini 2.5 Pro Preview 06-05

Kimi K2 Instruct
Performance comparison across key benchmark categories

Gemini 2.5 Pro Preview 06-05

Kimi K2 Instruct
Gemini 2.5 Pro Preview 06-05
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro Preview 06-05

Kimi K2 Instruct
Novita

Gemini 2.5 Pro Preview 06-05

Kimi K2 Instruct