Grok 3 Beta

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.

o4-mini

OpenAI o4-mini is the newest lightweight model in the o-series, engineered for efficient and capable reasoning across text and visual tasks. Optimized for speed and performance, it excels in code generation and image-based understanding, while maintaining a balance between latency and reasoning depth. The model supports a 200,000-token context window with up to 100,000 output tokens, making it suitable for extended, high-volume interactions. It handles both text and image inputs, producing textual outputs with advanced reasoning capabilities. With its compact architecture and versatile performance, o4-mini is ideal for a wide array of real-world applications demanding fast, cost-effective intelligence.

Grok 3 Betao4-mini
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
$1.10 per million tokens
Pricing Output ?
Not available
$4.40 per million tokens
MMLU ?
Not available
fort
MMLU-Pro ?
79.9%
Base model
Source
-
MMMU ?
78%
With Think mode
Source
81.6%
Source
HellaSwag ?
Not available
-
HumanEval ?
Not available
14.28%
Source
MATH ?
Not available
-
GPQA ?
84.6%
With Think mode, Diamond
Source
81.4%
Source
IFEval ?
Not available
-
SimpleQA ?
-
-
AIME 2024
-
93.4%
Source
AIME 2025
-
92.7%
Source
Aider Polyglot ?
-
-
LiveCodeBench v5 ?
-
-
Global MMLU (Lite) ?
-
-
MathVista ?
-
-
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