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.

Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07

Gemini 2.5 Flash
2025-05-20
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Llama 3.1 Nemotron Ultra 253B v1
Average performance across 2 common benchmarks

Gemini 2.5 Flash

Llama 3.1 Nemotron Ultra 253B v1
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Llama 3.1 Nemotron Ultra 253B v1
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Llama 3.1 Nemotron Ultra 253B v1

Gemini 2.5 Flash

Llama 3.1 Nemotron Ultra 253B v1