Model Comparison

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

Google

Gemini 1.5 Flash

Google

Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2024, 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 1.5 Flash

Google

2024-05-01

OpenAI

GPT-5 mini

OpenAI

2025-08-07

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash

$1.50 cheaper
Input:$0.15
Output:$0.60
OpenAI

GPT-5 mini

Input:$0.25
Output:$2.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash

Larger context
Max Context:1.1M
OpenAI

GPT-5 mini

Max Context:528.0K

Average performance across 1 common benchmarks

Google

Gemini 1.5 Flash

Average Score:51.0%
OpenAI

GPT-5 mini

+31.3%
Average Score:82.3%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash

general
62.7%
math
+46.8%
68.9%
OpenAI

GPT-5 mini

general
+6.7%
69.5%
math
22.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Flash

2023-11-01

GPT-5 mini

2024-05-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Flash

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
OpenAI

GPT-5 mini

2 providers

ZeroEval

Throughput: 200 tok/s
Latency: 1ms

OpenAI

Throughput: 200 tok/s
Latency: 1ms
Google

Gemini 1.5 Flash

Avg Score:51.0%
Providers:1
OpenAI

GPT-5 mini

+31.3%
Avg Score:82.3%
Providers:2