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.

Google

Gemini 2.5 Pro

Google

Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. 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.

Google

Gemini 2.5 Flash

Google

2025-05-20

Google

Gemini 2.5 Pro

Google

2025-05-20

0 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash

$8.45 cheaper
Input:$0.30
Output:$2.50
Google

Gemini 2.5 Pro

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash

Max Context:1.1M
Google

Gemini 2.5 Pro

Max Context:1.1M

Average performance across 13 common benchmarks

Google

Gemini 2.5 Flash

Average Score:60.7%
Google

Gemini 2.5 Pro

+8.6%
Average Score:69.3%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash

vision
79.7%
code
64.7%
general
58.0%
Google

Gemini 2.5 Pro

vision
+2.5%
82.2%
code
+5.9%
70.6%
general
+11.4%
69.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Flash

2025-01-31

Gemini 2.5 Pro

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
Google

Gemini 2.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 2.5 Flash

Avg Score:60.7%
Providers:2
Google

Gemini 2.5 Pro

+8.6%
Avg Score:69.3%
Providers:1