Gemini 2.0 Flash Thinking is an advanced reasoning model designed to enhance performance and explainability by making its thought process visible. It excels in complex problem-solving, coding challenges, and mathematical reasoning, demonstrating step-by-step solutions. Optimized for tasks that demand detailed explanations and logical analysis, the model also features native tool integration, including code execution and Google Search capabilities.
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 2.0 Flash Thinking | Llama 3.3 70B Instruct | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images | text |
API Providers
| Google AI Studio, Vertex AI, Gemini API | Fireworks, Together, DeepInfra, Hyperbolic |
Knowledge Cut-off Date
| 04.2024 | 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
| 75.4% 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
| 74.2% Diamond Science Source | 50.5% 0-shot, CoT Source |
IFEval
| Not available | 92.1% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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