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

Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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.

Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18

Gemini 2.5 Pro Preview 06-05
2025-06-05
2 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro Preview 06-05

Llama 3.1 Nemotron Nano 8B V1
Average performance across 2 common benchmarks

Gemini 2.5 Pro Preview 06-05

Llama 3.1 Nemotron Nano 8B V1
Performance comparison across key benchmark categories

Gemini 2.5 Pro Preview 06-05

Llama 3.1 Nemotron Nano 8B V1
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
Gemini 2.5 Pro Preview 06-05
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro Preview 06-05

Llama 3.1 Nemotron Nano 8B V1

Gemini 2.5 Pro Preview 06-05

Llama 3.1 Nemotron Nano 8B V1