Model Comparison

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

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

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.

Qwen2.5 7B Instruct

Alibaba

2024-09-19

Gemini Diffusion

Google

2025-05-20

8 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Qwen2.5 7B Instruct

Larger context

Max Context:139.3K

Parameters:7.6B

Average performance across 4 common benchmarks

Gemini Diffusion

+1.9%

Average Score:59.2%

Qwen2.5 7B Instruct

Average Score:57.3%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Qwen2.5 7B Instruct

code

+5.5%

66.0%

general

+22.7%

60.6%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 tok/s

Latency: 0.5ms

Gemini Diffusion

+1.9%

Avg Score:59.2%

Providers:0

Qwen2.5 7B Instruct

Avg Score:57.3%

Providers:1