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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 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.

Google

Gemini 2.5 Pro

Google

2025-05-20

Moonshot AI

Kimi K2 0905

Moonshot AI

2025-09-05

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro

Input:$1.25
Output:$10.00
Moonshot AI

Kimi K2 0905

$8.15 cheaper
Input:$0.60
Output:$2.50

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
Moonshot AI

Kimi K2 0905

Max Context:524.3K
Parameters:1.0T

Average performance across 2 common benchmarks

Google

Gemini 2.5 Pro

+13.6%
Average Score:87.5%
Moonshot AI

Kimi K2 0905

Average Score:73.9%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

code
72.6%
math
83.0%
general
74.1%
Moonshot AI

Kimi K2 0905

code
+21.9%
94.5%
math
+6.1%
89.1%
general
+6.0%
80.1%
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 0905

1 providers

Novita

Google

Gemini 2.5 Pro

+13.6%
Avg Score:87.5%
Providers:2
Moonshot AI

Kimi K2 0905

Avg Score:73.9%
Providers:1