Faster output version of Grok 3. Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science. Excels in structured tasks and benchmarks like GPQA, LCB, and MMLU-Pro where it outperforms Grok 3 Mini even on high thinking. Content policy rejections can still be charged: xAI may pass through a $0.05 moderation-failure fee, or a $0.055 usage-guidelines violation fee, depending on which rejection upstream returns.
Context Window
131.1K
Max Output
131.1K
Input Price (Auto)
$5.00/1M
Output Price (Auto)
$25.00/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.2
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Coding Index
19.8
GPQA Diamond
Graduate-level scientific reasoning
69.3%
Better than 60% of models compared
HLE
Humanity's Last Exam
5.1%
Better than 43% of models compared
IFBench
Instruction-following benchmark
46.9%
Better than 63% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
48.8%
Better than 60% of models compared
AA-LCR
Long context reasoning evaluation
54.7%
Better than 72% of models compared
SciCode
Python programming for scientific computing
36.8%
Better than 72% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
11.4%
Better than 53% of models compared
AIME 2025
American Invitational Mathematics Examination 2025
58.0%
Better than 55% of models compared
AIME
American Invitational Mathematics Examination
33.0%
Better than 61% of models compared
MMLU-Pro
Professional and academic subject knowledge
79.9%
Better than 66% of models compared
Last updated May 15, 2026
Artificial AnalysisLiveCodeBench
Contamination-free coding benchmark
42.5%
Better than 50% of models compared
Math-500
Diverse mathematical problem solving benchmark
87.0%
Better than 56% of models compared
