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

Gemini 2.5 Flash
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.

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.

Grok-3
xAI
2025-02-17

Gemini 2.5 Flash
2025-05-20
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash

Grok-3
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Grok-3
Average performance across 4 common benchmarks

Gemini 2.5 Flash

Grok-3
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Grok-3
Grok-3
2024-11-17
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Grok-3
xAI

Gemini 2.5 Flash

Grok-3