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.

xAI

Grok-2

xAI

Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K token context window for handling large documents. 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 xAI's latest advancement in AI technology.

xAI

Grok-2

xAI

2024-08-13

Google

Gemini 2.5 Flash

Google

2025-05-20

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash

$9.20 cheaper
Input:$0.30
Output:$2.50
xAI

Grok-2

Input:$2.00
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash

Larger context
Max Context:1.1M
xAI

Grok-2

Max Context:136.0K

Average performance across 2 common benchmarks

Google

Gemini 2.5 Flash

+20.2%
Average Score:81.3%
xAI

Grok-2

Average Score:61.1%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash

code
64.7%
vision
79.7%
general
58.0%
xAI

Grok-2

code
+23.8%
88.4%
vision
+0.1%
79.8%
general
+15.0%
73.0%
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

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
xAI

Grok-2

1 providers

xAI

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 2.5 Flash

+20.2%
Avg Score:81.3%
Providers:2
xAI

Grok-2

Avg Score:61.1%
Providers:1