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 3.3 70B Instruct, created by Meta, is a multilingual large language model specifically fine-tuned for instruction-based tasks and optimized for conversational applications. It is capable of processing and generating text in multiple languages, with a context window supporting up to 128,000 tokens. Launched on December 6, 2024, the model surpasses numerous open-source and proprietary chat models in various industry benchmarks. It utilizes Grouped-Query Attention (GQA) to improve scalability and has been trained on a diverse dataset comprising over 15 trillion tokens from publicly available sources. The model's knowledge is current up to December 2023.
Gemini 2.5 Pro | Llama 3.3 70B Instruct | |
---|---|---|
Provider | ||
Web Site | ||
Release Date | Mar 25, 2025 4 weeks ago | Dec 06, 2024 4 months ago |
Modalities | text images voice video | text |
API Providers | Google AI Studio, Vertex AI, Gemini app | Fireworks, Together, DeepInfra, Hyperbolic |
Knowledge Cut-off Date | - | 12.2024 |
Open Source | No | Yes |
Pricing Input | Not available | $0.23 per million tokens |
Pricing Output | Not available | $0.40 per million tokens |
MMLU | Not available | 86% 0-shot, CoT Source |
MMLU Pro | Not available | 68.9% 5-shot, CoT Source |
MMMU | 81.7% Source | Not available |
HellaSwag | Not available | Not available |
HumanEval | Not available | 88.4% pass@1 Source |
MATH | Not available | 77% 0-shot, CoT Source |
GPQA | 84.0% Diamond Science Source | 50.5% 0-shot, CoT Source |
IFEval | Not available | 92.1% Source |
Mobile Application | - |
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