Open source Arcee reasoning model with a 262K context window, 80K max output, and native reasoning and tool support for agentic workloads.
Added Apr 1, 2026
Context Window
262.1K
Max Output
80.0K
Input Price
$0.25/1M
Output Price
$0.90/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
31.9
Coding Index
27.2
Agentic Index
42.6
GPQA Diamond
Graduate-level scientific reasoning
75.2%
Better than 72% of models compared
HLE
Humanity's Last Exam
14.7%
Better than 83% of models compared
IFBench
Instruction-following benchmark
56.3%
Better than 76% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
90.1%
Better than 90% of models compared
AA-LCR
Long context reasoning evaluation
33.0%
Better than 54% of models compared
GDPval-AA
Economically valuable tasks
18.4%
Better than 65% of models compared
CritPt
Research-level physics reasoning
0.9%
Better than 79% of models compared
SciCode
Python programming for scientific computing
36.1%
Better than 69% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
22.7%
Better than 72% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
22.8%
Better than 71% of models compared
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
86.6%
Better than 39% of models compared
Last updated Apr 15, 2026
Artificial Analysis
