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-3

xAI

Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. 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 2025, it represents xAI's latest advancement in AI technology.

xAI

Grok-3

xAI

2025-02-17

Google

Gemini 2.5 Flash-Lite

Google

2025-06-17

4 months 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-3

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-3

Max Context:136.0K

Average performance across 4 common benchmarks

Google

Gemini 2.5 Flash-Lite

Average Score:55.3%
xAI

Grok-3

+28.6%
Average Score:83.8%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash-Lite

general
35.8%
code
42.5%
vision
72.9%
xAI

Grok-3

general
+54.6%
90.4%
code
+36.9%
79.4%
vision
+5.1%
78.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Grok-3

2024-11-17

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-3

1 providers

xAI

Throughput: 100 tok/s
Latency: 0.7ms
Google

Gemini 2.5 Flash-Lite

Avg Score:55.3%
Providers:1
xAI

Grok-3

+28.6%
Avg Score:83.8%
Providers:1