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
10.9
Coding Index
25.8
Agentic Index
1.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
1.3%
Better than 19% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
271 Elo
Better than 17% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
512 Elo
Better than 22% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
1.2%
Better than 13% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
38.0%
Better than 38% of models compared
Reasoning
HLE
Humanity's Last Exam
15.8%
Better than 66% of models compared
IFBench
Instruction-following benchmark
56.3%
Better than 67% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 39% of models compared
SciCode
Python programming for scientific computing
40.6%
Better than 30% 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%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
75.2%
Better than 57% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
22.7%
Better than 62% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
90.1%
Better than 84% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
38.0%
Better than 38% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
0.6%
Last updated Sep 13, 2026
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