🚀 Website under development • Launching soon

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 Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Google

Gemma 3n E4B Instructed

Google

2025-06-26

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

29 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

$56.70 cheaper
Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Larger context
Max Context:387.1K
Parameters:235.0B

Average performance across 4 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:37.9%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+44.0%
Average Score:81.9%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

general
44.6%
math
38.8%
code
38.9%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

general
+32.8%
77.4%
math
+21.3%
60.1%
code
+15.1%
53.9%
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 Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Google

Gemma 3n E4B Instructed

Avg Score:37.9%
Providers:1
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+44.0%
Avg Score:81.9%
Providers:1