Grok 3 is xAI's most advanced model, trained on the Colossus supercluster with 10 times the computational power of previous state-of-the-art models. It boasts a 1M-token context window and advanced reasoning capabilities, enhanced through large-scale reinforcement learning, enabling deep thought processes ranging from seconds to minutes for solving complex problems. The model achieves top-tier performance across academic benchmarks and real-world user evaluations, earning an Elo score of 1402 in the Chatbot Arena. It was released alongside Grok 3 Mini, a cost-efficient variant optimized for streamlined reasoning.
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.
| Grok 3 Beta | Llama 3.3 70B Instruct | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images video | text |
API Providers
| xAI | Fireworks, Together, DeepInfra, Hyperbolic |
Knowledge Cut-off Date
| 2025-01 | 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
| 79.9% Base model Source | 68.9% 5-shot, CoT Source |
MMMU
| 78% With Think mode 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
| 84.6% With Think mode, Diamond 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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