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 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K 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.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

Google

Gemma 3 4B

Google

2025-03-12

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 4B

$2.80 cheaper
Input:$0.02
Output:$0.04
Moonshot AI

Kimi K2 Instruct

Input:$0.57
Output:$2.29

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

Larger context
Max Context:262.1K
Parameters:4.0B
Moonshot AI

Kimi K2 Instruct

Max Context:144.0K
Parameters:1.0T

Average performance across 6 common benchmarks

Google

Gemma 3 4B

Average Score:54.9%
Moonshot AI

Kimi K2 Instruct

+23.1%
Average Score:77.9%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

math
64.5%
code
61.5%
general
40.7%
Moonshot AI

Kimi K2 Instruct

math
+22.1%
86.6%
code
+18.0%
79.5%
general
+21.3%
62.0%
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 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
Google

Gemma 3 4B

Avg Score:54.9%
Providers:1
Moonshot AI

Kimi K2 Instruct

+23.1%
Avg Score:77.9%
Providers:1