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Model Comparison

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

Google

Gemini 2.5 Pro Preview 06-05

Google

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.

Moonshot AI

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.

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

2025-09-05

3 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
Moonshot AI

Kimi K2-Instruct-0905

Max Context:-
Parameters:1.0T

Average performance across 6 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+18.6%
Average Score:74.5%
Moonshot AI

Kimi K2-Instruct-0905

Average Score:55.9%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

math
+23.0%
88.0%
code
+15.9%
72.8%
factuality
+9.0%
70.9%
general
66.1%
Moonshot AI

Kimi K2-Instruct-0905

math
65.0%
code
56.9%
factuality
61.9%
general
+3.8%
69.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro Preview 06-05

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Pro Preview 06-05

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Moonshot AI

Kimi K2-Instruct-0905

0 providers
Google

Gemini 2.5 Pro Preview 06-05

+18.6%
Avg Score:74.5%
Providers:1
Moonshot AI

Kimi K2-Instruct-0905

Avg Score:55.9%
Providers:0