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-4

xAI

Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. 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 xAI's latest advancement in AI technology.

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

xAI

Grok-4

xAI

2025-07-09

22 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Flash-Lite

$17.50 cheaper
Input:$0.10
Output:$0.40
xAI

Grok-4

Input:$3.00
Output:$15.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash-Lite

Larger context
Max Context:1.1M
xAI

Grok-4

Max Context:264.0K

Average performance across 4 common benchmarks

Google

Gemini 2.5 Flash-Lite

Average Score:38.3%
xAI

Grok-4

+36.3%
Average Score:74.6%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

code
42.5%
general
35.8%
reasoning
2.5%
xAI

Grok-4

code
+36.5%
79.0%
general
+33.6%
69.3%
reasoning
+13.4%
15.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Grok-4

2024-12-31

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-4

2 providers

xAI

Throughput: 100 tok/s
Latency: 0.7ms

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Google

Gemini 2.5 Flash-Lite

Avg Score:38.3%
Providers:1
xAI

Grok-4

+36.3%
Avg Score:74.6%
Providers:2