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.

Alibaba

Qwen2.5 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 7B Instruct

Alibaba

2024-09-19

Google

Gemma 3n E4B Instructed

Google

2025-06-26

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
Alibaba

Qwen2.5 7B Instruct

$59.40 cheaper
Input:$0.30
Output:$0.30

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
Alibaba

Qwen2.5 7B Instruct

Larger context
Max Context:139.3K
Parameters:7.6B

Average performance across 5 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:45.2%
Alibaba

Qwen2.5 7B Instruct

+11.9%
Average Score:57.1%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

math
52.4%
code
38.9%
general
41.6%
Alibaba

Qwen2.5 7B Instruct

math
+31.2%
83.5%
code
+27.1%
66.0%
general
+19.1%
60.6%
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
Alibaba

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B Instructed

Avg Score:45.2%
Providers:1
Alibaba

Qwen2.5 7B Instruct

+11.9%
Avg Score:57.1%
Providers:1