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.

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

GPT-3.5 Turbo

OpenAI

2023-03-21

Gemini Diffusion

Google

2025-05-20

2 years newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 2 common benchmarks

Gemini Diffusion

+15.6%

Average Score:65.0%

GPT-3.5 Turbo

Average Score:49.4%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

GPT-3.5 Turbo

code

+7.5%

68.0%

general

+19.0%

56.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

+15.6%

Avg Score:65.0%

Providers:0

GPT-3.5 Turbo

Avg Score:49.4%

Providers:2