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.
GPT-4.1 Nano, launched by OpenAI on April 14, 2025, is the company's fastest and most affordable model to date. Designed for low-latency tasks such as classification, autocomplete, and fast inference scenarios, it combines compact architecture with robust capabilities. Despite its size, it supports an impressive 1 million token context window and delivers strong benchmark results, achieving 80.1% on MMLU and 50.3% on GPQA. With a knowledge cutoff of June 2024, GPT-4.1 Nano offers exceptional value at just $0.10 per million input tokens and $0.40 per million output tokens, with a 75% discount applied to cached inputs, making it ideal for high-volume, cost-sensitive deployments.
| Grok 3 Beta | GPT-4.1 Nano | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text images video | text images |
API Providers
| xAI | OpenAI API |
Knowledge Cut-off Date
| 2025-01 | - |
Open Source
| No | No |
Pricing Input
| Not available | $0.10 per million tokens |
Pricing Output
| Not available | $0.40 per million tokens |
MMLU
| Not available | 80.1% Source |
MMLU-Pro
| 79.9% Base model Source | - |
MMMU
| 78% With Think mode Source | 55.4% Source |
HellaSwag
| Not available | - |
HumanEval
| Not available | - |
MATH
| Not available | - |
GPQA
| 84.6% With Think mode, Diamond Source | 50.3% Diamond Source |
IFEval
| Not available | 74.5% Source |
SimpleQA
| - | - |
AIME 2024 | - | 29.4% Source |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | 66.9% Source |
MathVista
| - | 56.2% Image Reasoning Source |
Mobile Application |
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