Advanced reasoning model built on Llama-3.1-405B with hybrid thinking modes. Features internal deliberation capabilities, excels at math, code, STEM, and logical reasoning while supporting structured outputs with improved steerability and neutral alignment.
Added Aug 26, 2025
Model weightsContext Window
128.0K
Max Output
8.2K
Avg output tokens (7d)
302 tokens
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$1.20/1M
Cache Read (Auto)
$0.15/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
7.4
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
26.6%
Better than 32% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
22.0%
Better than 26% of models compared
Reasoning
HLE
Humanity's Last Exam
4.2%
Better than 17% of models compared
IFBench
Instruction-following benchmark
34.8%
Better than 26% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
9.8%
Better than 44% of models compared
LiveCodeBench
Contamination-free coding benchmark
54.6%
Better than 62% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
15.3%
Better than 19% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
72.9%
Better than 42% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
53.6%
Better than 27% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
22.0%
Better than 26% of models compared
Last updated Sep 13, 2026
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