Cohere's open-weight Command A+ model for complex agentic, multimodal, multilingual, and reasoning tasks. It is a 218B total parameter sparse MoE model with 25B active parameters, supports text and image inputs, structured outputs, and 48 languages.
Added May 22, 2026
Context Window
128.0K
Max Output
64.0K
Input Price (Auto)
$2.50/1M
Output Price (Auto)
$10.00/1M
Cache Read (Auto)
$1.25/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
29.3
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
76.1%
Better than 67% of models compared
HLE
Humanity's Last Exam
11.4%
Better than 69% of models compared
IFBench
Instruction-following benchmark
73.9%
Better than 91% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
80.7%
Better than 71% of models compared
AA-LCR
Long context reasoning evaluation
46.0%
Better than 59% of models compared
Coding
SciCode
Python programming for scientific computing
37.8%
Better than 68% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
25.0%
Better than 67% of models compared
Last updated Jun 28, 2026
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