Model Comparison

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

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-5

OpenAI

GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). 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 2.0 Flash-Lite

Google

2025-02-05

OpenAI

GPT-5

OpenAI

2025-08-07

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash-Lite

$10.88 cheaper
Input:$0.07
Output:$0.30
OpenAI

GPT-5

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

GPT-5

Max Context:528.0K

Average performance across 3 common benchmarks

Google

Gemini 2.0 Flash-Lite

Average Score:68.8%
OpenAI

GPT-5

+16.1%
Average Score:84.9%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

code
28.9%
factuality
+82.8%
83.6%
vision
68.0%
general
55.5%
math
+15.6%
71.0%
OpenAI

GPT-5

code
+64.5%
93.4%
factuality
0.8%
vision
+11.9%
79.9%
general
+18.8%
74.3%
math
55.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

GPT-5

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-5

2 providers

OpenAI

Throughput: 100 tok/s
Latency: 2ms

ZeroEval

Throughput: 100 tok/s
Latency: 2ms
Google

Gemini 2.0 Flash-Lite

Avg Score:68.8%
Providers:1
OpenAI

GPT-5

+16.1%
Avg Score:84.9%
Providers:2