Model Comparison

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

Google

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.

Mistral AI

Pixtral-12B

Mistral AI

Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). The model shows particular specialization in general tasks with an average performance of 75.5%. It supports a 136K 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 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral-12B

Mistral AI

2024-09-17

Google

Gemma 3n E2B Instructed

Google

2025-06-26

9 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E2B Instructed

Max Context:-
Parameters:8.0B
Mistral AI

Pixtral-12B

Larger context
Max Context:136.2K
Parameters:12.4B

Average performance across 2 common benchmarks

Google

Gemma 3n E2B Instructed

Average Score:63.3%
Mistral AI

Pixtral-12B

+7.3%
Average Score:70.6%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed

general
32.8%
code
33.2%
math
40.4%
Mistral AI

Pixtral-12B

general
+42.7%
75.5%
code
+28.8%
62.0%
math
+12.6%
53.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E2B Instructed

0 providers
Mistral AI

Pixtral-12B

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemma 3n E2B Instructed

Avg Score:63.3%
Providers:0
Mistral AI

Pixtral-12B

+7.3%
Avg Score:70.6%
Providers:1