Model Comparison

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

Google

Gemini 2.5 Flash

Google

Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.

OpenAI

GPT-5 mini

OpenAI

GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemini 2.5 Flash

Google

2025-05-20

OpenAI

GPT-5 mini

OpenAI

2025-08-07

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash

Input:$0.30
Output:$2.50
OpenAI

GPT-5 mini

$0.55 cheaper
Input:$0.25
Output:$2.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash

Larger context
Max Context:1.1M
OpenAI

GPT-5 mini

Max Context:528.0K

Average performance across 3 common benchmarks

Google

Gemini 2.5 Flash

Average Score:55.3%
OpenAI

GPT-5 mini

+8.1%
Average Score:63.4%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash

general
58.0%
OpenAI

GPT-5 mini

general
+11.5%
69.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 mini

2024-05-30

Gemini 2.5 Flash

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Flash

2 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-5 mini

2 providers

ZeroEval

Throughput: 200 tok/s
Latency: 1ms

OpenAI

Throughput: 200 tok/s
Latency: 1ms
Google

Gemini 2.5 Flash

Avg Score:55.3%
Providers:2
OpenAI

GPT-5 mini

+8.1%
Avg Score:63.4%
Providers:2