Cohere's compact coding model for fast code generation, code editing, and agentic coding prompts. It supports a 256K-token input context, up to 64K output tokens, and configurable thinking.
Added Jun 18, 2026
Model weightsContext Window
256.0K
Max Output
64.0K
Input Price (Auto)
$0.20/1M
Output Price (Auto)
$0.80/1M
Cache Read (Auto)
$0.10/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.2
Coding Index
36.5
Agentic Index
3.1
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
75.7%
Better than 60% of models compared
HLE
Humanity's Last Exam
11.1%
Better than 61% of models compared
IFBench
Instruction-following benchmark
57.6%
Better than 69% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
37.4%
Better than 46% of models compared
AA-LCR
Long context reasoning evaluation
36.0%
Better than 41% of models compared
Coding
SciCode
Python programming for scientific computing
38.2%
Better than 63% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
31.1%
Better than 73% of models compared
Last updated Aug 16, 2026
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