Gemini 2.5 Pro is Google's most advanced AI model, engineered for deep reasoning and thoughtful response generation. It outperforms on key benchmarks, demonstrating exceptional logic and coding proficiency. Optimized for building dynamic web applications, autonomous code systems, and code adaptation, it delivers high-level performance. With built-in multimodal capabilities and an extended context window, the model efficiently processes large datasets and integrates diverse information sources to tackle complex challenges.
LLaMA 4 Scout is a 17-billion parameter model leveraging a Mixture-of-Experts architecture with 16 active experts, positioning it as the top multimodal model in its category. It consistently outperforms competitors like Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across diverse benchmark tasks. Despite its performance, LLaMA 4 Scout is remarkably efficient—capable of running on a single NVIDIA H100 GPU with Int4 quantization. It also boasts an industry-leading 10 million token context window and is natively multimodal, seamlessly processing text, images, and video inputs for advanced real-world applications.
| Gemini 2.5 Pro | Llama 4 Scout | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Mar 25, 2025 4 weeks ago | Apr 05, 2025 2 weeks ago |
Modalities | text images voice video | text images video |
API Providers | Google AI Studio, Vertex AI, Gemini app | Meta AI, Hugging Face, Fireworks, Together, DeepInfra |
Knowledge Cut-off Date | - | 2025-04 |
Open Source | No | Yes (Source) |
Pricing Input | Not available | Not available |
Pricing Output | Not available | Not available |
MMLU | Not available | Not available |
MMLU Pro | Not available | 74.3% Reasoning & Knowledge Source |
MMMU | 81.7% Source | 69.4% Image Reasoning Source |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | Not available | Not available |
GPQA | 84.0% Diamond Science Source | 57.2% Diamond Source |
IFEval | Not available | Not available |
Mobile Application | - |
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