🚀 Website under development • Launching soon

Model Comparison

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

Google

Gemma 3 4B

Google

Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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

Gemma 3 4B

Google

2025-03-12

Moonshot AI

Kimi K2 0905

Moonshot AI

2025-09-05

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 4B

$3.04 cheaper
Input:$0.02
Output:$0.04
Moonshot AI

Kimi K2 0905

Input:$0.60
Output:$2.50

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

Max Context:262.1K
Parameters:4.0B
Moonshot AI

Kimi K2 0905

Larger context
Max Context:524.3K
Parameters:1.0T

Average performance across 4 common benchmarks

Google

Gemma 3 4B

Average Score:55.3%
Moonshot AI

Kimi K2 0905

+30.1%
Average Score:85.5%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

code
61.5%
math
64.5%
general
44.3%
Moonshot AI

Kimi K2 0905

code
+33.0%
94.5%
math
+24.6%
89.1%
general
+35.8%
80.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3 4B

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 4B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Moonshot AI

Kimi K2 0905

1 providers

Novita

Google

Gemma 3 4B

Avg Score:55.3%
Providers:1
Moonshot AI

Kimi K2 0905

+30.1%
Avg Score:85.5%
Providers:1