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.

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. 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 Mistral AI's latest advancement in AI technology.

Google

Gemma 3 4B

Google

2025-03-12

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

2025-06-20

3 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

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

Mistral Small 3.2 24B Instruct

Max Context:-
Parameters:23.6B

Average performance across 7 common benchmarks

Google

Gemma 3 4B

Average Score:53.3%
Mistral AI

Mistral Small 3.2 24B Instruct

+14.1%
Average Score:67.4%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

code
61.5%
vision
59.0%
math
64.5%
general
40.7%
Mistral AI

Mistral Small 3.2 24B Instruct

code
+24.1%
85.6%
vision
+19.7%
78.7%
math
+3.8%
68.3%
general
+23.9%
64.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3.2 24B Instruct

2023-10-01

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
Mistral AI

Mistral Small 3.2 24B Instruct

0 providers
Google

Gemma 3 4B

Avg Score:53.3%
Providers:1
Mistral AI

Mistral Small 3.2 24B Instruct

+14.1%
Avg Score:67.4%
Providers:0