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
Model weightsContext Window
262.1K
Max Output
80.0K
Input Price (Auto)
$0.25/1M
Output Price (Auto)
$0.90/1M
Cache Read (Auto)
$0.13/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
18.7
Coding Index
25.8
Agentic Index
3.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
75.2%
Better than 59% of models compared
HLE
Humanity's Last Exam
15.8%
Better than 70% of models compared
IFBench
Instruction-following benchmark
56.3%
Better than 67% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
90.1%
Better than 84% of models compared
AA-LCR
Long context reasoning evaluation
38.3%
Better than 44% of models compared
GDPval-AA
Economically valuable tasks
3.3%
CritPt
Research-level physics reasoning
0.9%
Coding
SciCode
Python programming for scientific computing
36.1%
Better than 56% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
22.7%
Better than 62% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
22.5%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
85.9%
Last updated Aug 18, 2026
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