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

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

o3-mini

OpenAI

2025-01-30

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

6 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.0 Flash-Lite

$5.13 cheaper
Input:$0.07
Output:$0.30
OpenAI

o3-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

o3-mini

Max Context:300.0K

Average performance across 3 common benchmarks

Google

Gemini 2.0 Flash-Lite

Average Score:53.3%
OpenAI

o3-mini

+10.0%
Average Score:63.4%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

code
28.9%
math
+4.7%
71.0%
general
+0.3%
55.5%
OpenAI

o3-mini

code
+65.0%
93.9%
math
66.4%
general
55.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

Gemini 2.0 Flash-Lite

2024-06-01

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

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Google

Gemini 2.0 Flash-Lite

Avg Score:53.3%
Providers:1
OpenAI

o3-mini

+10.0%
Avg Score:63.4%
Providers:2