Model Comparison

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

GPT-5.6 Luna significantly outperforms across most benchmarks.

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

GPT-5.6 Luna (by OpenAI) and North Mini Code 1.0 (by Cohere) 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.

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

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

Choose North Mini Code 1.0 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

GPT-5.6 Luna significantly outperforms across most benchmarks.

Tue Jul 28 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).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
Tue Jul 28 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.

GPT-5.6 Luna

Text
Images
Audio
Video

North Mini Code 1.0

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

GPT-5.6 Luna

Proprietary

Closed source

North Mini Code 1.0

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

GPT-5.6 Luna

Jul 9, 2026

2 weeks ago

1mo newer
North Mini Code 1.0

Jun 9, 2026

1 months ago

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.

GPT-5.6 Luna

Feb 2026

North Mini Code 1.0

—

Outputs Comparison

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Key Takeaways

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

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

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

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

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%. 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%.

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

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

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

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

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

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

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