Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.

Google

Gemini 2.0 Flash

Google

Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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.

Google

Gemini 1.5 Pro

Google

2024-05-01

Google

Gemini 2.0 Flash

Google

2024-12-01

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00
Google

Gemini 2.0 Flash

$12.00 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Google

Gemini 2.0 Flash

Max Context:1.1M

Average performance across 8 common benchmarks

Google

Gemini 1.5 Pro

Average Score:70.1%
Google

Gemini 2.0 Flash

+2.4%
Average Score:72.5%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

math
74.9%
code
+13.0%
74.5%
vision
+1.5%
72.3%
general
+6.4%
68.9%
Google

Gemini 2.0 Flash

math
+1.4%
76.4%
code
61.4%
vision
70.7%
general
62.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

Gemini 2.0 Flash

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 2.0 Flash

1 providers

Google

Throughput: 183 tok/s
Latency: 0.4ms
Google

Gemini 1.5 Pro

Avg Score:70.1%
Providers:1
Google

Gemini 2.0 Flash

+2.4%
Avg Score:72.5%
Providers:1