Model Comparison

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

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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.

Mistral AI

Ministral 8B Instruct

Mistral AI

Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

Google

Gemma 3n E4B Instructed

Google

2025-06-26

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
Mistral AI

Ministral 8B Instruct

$59.80 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
Mistral AI

Ministral 8B Instruct

Larger context
Max Context:256.0K
Parameters:8.0B

Average performance across 2 common benchmarks

Google

Gemma 3n E4B Instructed

+20.1%
Average Score:70.0%
Mistral AI

Ministral 8B Instruct

Average Score:49.9%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

general
41.6%
math
52.4%
code
38.9%
Mistral AI

Ministral 8B Instruct

general
+23.1%
64.7%
math
+2.1%
54.5%
code
+12.2%
51.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B 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 E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
Mistral AI

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
Google

Gemma 3n E4B Instructed

+20.1%
Avg Score:70.0%
Providers:1
Mistral AI

Ministral 8B Instruct

Avg Score:49.9%
Providers:1