Model Comparison

North Mini Code 1.0 vs GPT-5.6 LunaWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks.

Verdict: North Mini Code 1.0 vs GPT-5.6 Luna — which is better?

North Mini Code 1.0 (by Cohere) and GPT-5.6 Luna (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

North Mini Code 1.0 outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (SWE-Bench Pro). GPT-5.6 Luna significantly outperforms across most benchmarks.

Choose North Mini Code 1.0 if…

  • you need open weights you can self-host or fine-tune

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

North Mini Code 1.0 outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (SWE-Bench Pro).

GPT-5.6 Luna significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.6 Luna supports multimodal inputs, whereas North Mini Code 1.0 does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

North Mini Code 1.0

Text
Images
Audio
Video

GPT-5.6 Luna

Text
Images
Audio
Video

License

Usage and distribution terms

North Mini Code 1.0 is licensed under Apache 2.0, while GPT-5.6 Luna uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

North Mini Code 1.0

Apache 2.0

Open weights

GPT-5.6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

North Mini Code 1.0 was released on 2026-06-09, while GPT-5.6 Luna was released on 2026-07-09.

GPT-5.6 Luna is 1 month newer than North Mini Code 1.0.

North Mini Code 1.0

Jun 9, 2026

1 months ago

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while North Mini Code 1.0's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without North Mini Code 1.0's cutoff date.

North Mini Code 1.0

—

GPT-5.6 Luna

Feb 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Has open weights
OpenAI
Larger context window (1,050,000 tokens)
Supports multimodal inputs
Higher SWE-Bench Pro score (62.7% vs 40.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against North Mini Code 1.0 and GPT-5.6 Luna side-by-side, then vote on the output you prefer.

North Mini Code 1.0
✓ Preferred
GPT-5.6 Luna
Open in Playground
AI Model Comparison Table
Feature
Cohere
North Mini Code 1.0
OpenAI
GPT-5.6 Luna

FAQ

Common questions about North Mini Code 1.0 vs GPT-5.6 Luna.

Which is better, North Mini Code 1.0 or GPT-5.6 Luna?

GPT-5.6 Luna significantly outperforms across most benchmarks. North Mini Code 1.0 is made by Cohere and GPT-5.6 Luna is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does North Mini Code 1.0 compare to GPT-5.6 Luna in benchmarks?

North Mini Code 1.0 scores LiveCodeBench v6: 70.3%, SWE-Bench Verified: 67.6%, SWE-Bench Pro: 40.2%, SciCode: 38.2%, Terminal-Bench 2.0: 36.0%. GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%.

What are the context window sizes for North Mini Code 1.0 and GPT-5.6 Luna?

North Mini Code 1.0 supports an unknown number of tokens and GPT-5.6 Luna supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between North Mini Code 1.0 and GPT-5.6 Luna?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes North Mini Code 1.0 and GPT-5.6 Luna?

North Mini Code 1.0 is developed by Cohere and GPT-5.6 Luna is developed by OpenAI.

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