Cohere logo

North Mini Code 1.0

Cohere

North Mini Code 1.0 is Cohere's open-weights sparse Mixture-of-Experts coding model optimized for code generation, agentic software engineering, terminal tasks, and local deployment. It has 30B total parameters with 3B active parameters, 128 experts with 8 active per token, native tool-use support, interleaved thinking, a 256K context length, and up to 64K output tokens.

Key Specifications

Parameters
30.0B
Context
-
Release Date
June 9, 2026
Average Score
47.2%

Timeline

Key dates in the model's history
Announcement
June 9, 2026
Last Update
September 12, 2026
Today
September 19, 2026

Technical Specifications

Parameters
30.0B
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval

Benchmark Results

Model performance metrics across various tests and benchmarks

Programming

Programming skills tests
SWE-Bench Verified
SWE-Agent harness v1.1.0; average over 3 seedsSelf-reported
67.6%

Other Tests

Specialized benchmarks
LiveCodeBench v6
LiveCodeBench v6 complex code-generation benchmark outside tool use; average over 3 seedsSelf-reported
70.3%
SciCode
Complex code-generation benchmark outside tool use; average over 3 seedsSelf-reported
38.2%
SWE-Bench Pro
SWE-Agent harness v1.1.0; average over 3 seedsSelf-reported
40.2%
Terminal-Bench 2.0
Simple ReAct harness with a terminal-use tool based on Harbor Tmux; average over 3 seedsSelf-reported
36.0%
Terminal-Bench Hard
Terminus-2 harness; average over 3 seedsSelf-reported
31.1%

License & Metadata

License
apache_2_0
Announcement Date
June 9, 2026
Last Updated
September 12, 2026

Similar Models

All Models

Recommendations are based on similarity of characteristics: developer organization, multimodality, parameter size, and benchmark performance. Choose a model to compare or go to the full catalog to browse all available AI models.