Model Comparison

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

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.

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 2.0 Flash Thinking

Google

2025-01-21

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 2.0 Flash Thinking

Max Context:-

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 2 common benchmarks

Gemini 2.0 Flash Thinking

+59.4%

Average Score:74.8%

GPT-3.5 Turbo

Average Score:15.4%

Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

general

+16.8%

73.8%

GPT-3.5 Turbo

general

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

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 2.0 Flash Thinking

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 2.0 Flash Thinking

+59.4%

Avg Score:74.8%

Providers:0

GPT-3.5 Turbo

Avg Score:15.4%

Providers:2