Model Comparison

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

Google

Gemini 2.5 Flash-Lite

Google

Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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.

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-Lite

Google

2025-06-17

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$11.50 cheaper
Input:$0.10
Output:$0.40
xAI

Grok-2

Input:$2.00
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
xAI

Grok-2

Max Context:136.0K

Average performance across 2 common benchmarks

Google

Gemini 2.5 Flash-Lite

+7.7%
Average Score:68.8%
xAI

Grok-2

Average Score:61.1%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

code
42.5%
vision
72.9%
general
35.8%
xAI

Grok-2

code
+45.9%
88.4%
vision
+7.0%
79.8%
general
+37.2%
73.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Flash-Lite

2025-01-01

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-Lite

1 providers

Google

Throughput: 5.69 tok/s
Latency: 0.44ms
xAI

Grok-2

1 providers

xAI

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 2.5 Flash-Lite

+7.7%
Avg Score:68.8%
Providers:1
xAI

Grok-2

Avg Score:61.1%
Providers:1