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Model Comparison

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

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 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 Flash-Lite

Google

2025-06-17

Moonshot AI

Kimi K2 0905

Moonshot AI

2025-09-05

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$2.60 cheaper
Input:$0.10
Output:$0.40
Moonshot AI

Kimi K2 0905

Input:$0.60
Output:$2.50

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
Moonshot AI

Kimi K2 0905

Max Context:524.3K
Parameters:1.0T

Average performance across 1 common benchmarks

Google

Gemini 2.5 Flash-Lite

Average Score:64.6%
Moonshot AI

Kimi K2 0905

+11.2%
Average Score:75.8%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

code
37.2%
math
49.8%
general
39.8%
Moonshot AI

Kimi K2 0905

code
+57.3%
94.5%
math
+39.3%
89.1%
general
+40.3%
80.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Flash-Lite

2025-01-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Flash-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
Moonshot AI

Kimi K2 0905

1 providers

Novita

Google

Gemini 2.5 Flash-Lite

Avg Score:64.6%
Providers:1
Moonshot AI

Kimi K2 0905

+11.2%
Avg Score:75.8%
Providers:1