LLMcohere

Cohere: North Mini Code (free)

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...

Anyone in the Space can @-mention Cohere: North Mini Code (free) with the team's shared context - pooled credits, one chat, one memory.

All models

Starter is free forever - 1 Space, 100 credits/month, 1 MCP. No card.

Verdict

North Mini Code is Cohere's free code-focused model with a massive 256K context window — ideal for prototyping, learning, or cost-sensitive projects where you need to process entire codebases without paying per token. The zero-cost tier makes it accessible for experimentation, but expect performance to trail paid alternatives like GPT-4o or Claude Sonnet on complex reasoning tasks. Reach for this when budget constraints matter more than cutting-edge accuracy, or when you're exploring ideas before committing to a paid model.

Best for

  • Zero-cost code prototyping and experimentation
  • Large codebase analysis on tight budgets
  • Learning prompt engineering without API costs
  • Internal tools with unpredictable usage spikes

Strengths

The 256K context window lets you feed entire repositories or multi-file codebases in a single request, removing the need for chunking strategies. Zero pricing eliminates cost anxiety during development cycles — you can iterate freely without watching token meters. The code-specific tuning means it handles syntax highlighting, function extraction, and basic refactoring tasks competently enough for internal tooling or educational use cases.

Trade-offs

Free models typically lag paid tiers on complex reasoning, nuanced code generation, and edge-case handling. Without public benchmarks, it's unclear how North Mini Code stacks up against GPT-4o-mini or Claude Haiku on standardized coding tests like HumanEval. Expect slower response times or rate limits compared to paid endpoints. The proprietary license means you can't self-host or fine-tune, limiting flexibility for teams wanting model customization.

Specifications

Provider
cohere
Category
llm
Context length
256,000 tokens
Max output
64,000 tokens
Modalities
text
License
proprietary
Released
2026-06-17

Pricing

Input
$0.00/Mtok
Output
$0.00/Mtok
Model ID
cohere/north-mini-code:free

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Team cost calculator

Estimated monthly spend
Freeno token cost
17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.

Providers

ProviderContextInputOutputP50 latencyThroughput30d uptime
cohere256k$0.00/Mtok$0.00/Mtok

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Spaces have used this model yet to share anonymised team stats. We wait for at least 50 distinct Spaces per week before publishing any aggregate.

Starter prompts

Codebase Documentation Generator

Review the following codebase files and generate a README with sections for architecture overview, key modules, and setup instructions. Focus on clarity for new contributors.
Open in a Space →

Multi-File Refactor Suggestions

Analyze these Python files for code duplication, unused imports, and opportunities to extract shared utilities. Provide specific line-number recommendations.
Open in a Space →

Dependency Conflict Resolver

Given this package.json and yarn.lock, identify version conflicts and suggest compatible dependency ranges that resolve the issues.
Open in a Space →

API Endpoint Mapper

Parse these Express.js route files and generate an API reference table with endpoints, HTTP methods, required parameters, and response shapes.
Open in a Space →

Test Coverage Gap Finder

Compare these source modules with the test files and list functions or branches that lack test coverage. Prioritize by complexity.
Open in a Space →
Data last verified 1 hour ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.