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Model Comparison

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

Google

Gemini 2.5 Pro

Google

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.

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

Google

2025-05-20

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

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

+16.3%
Average Score:74.8%
Moonshot AI

Kimi K2-Instruct-0905

Average Score:58.5%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

math
+18.0%
83.0%
general
+4.3%
74.1%
code
+15.7%
72.6%
factuality
50.8%
reasoning
4.9%
Moonshot AI

Kimi K2-Instruct-0905

math
65.0%
general
69.9%
code
56.9%
factuality
+11.1%
61.9%
reasoning
+55.2%
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro

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

2 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms

ZeroEval

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

Kimi K2-Instruct-0905

0 providers
Google

Gemini 2.5 Pro

+16.3%
Avg Score:74.8%
Providers:2
Moonshot AI

Kimi K2-Instruct-0905

Avg Score:58.5%
Providers:0