Model Comparison

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

GPT-5.6 Sol significantly outperforms across most benchmarks.

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

North Mini Code 1.0 (by Cohere) and GPT-5.6 Sol (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 Sol is better at 1 benchmark (SWE-Bench Pro). GPT-5.6 Sol 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 Sol 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 Sol is better at 1 benchmark (SWE-Bench Pro).

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

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

Input Capabilities

Supported data types and modalities

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

GPT-5.6 Sol 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 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

North Mini Code 1.0 is licensed under Apache 2.0, while GPT-5.6 Sol 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 Sol

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 Sol was released on 2026-07-09.

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

North Mini Code 1.0

Jun 9, 2026

1 months ago

GPT-5.6 Sol

Jul 9, 2026

1 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol 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 Sol'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 Sol

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 (64.6% vs 40.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

GPT-5.6 Sol significantly outperforms across most benchmarks. North Mini Code 1.0 is made by Cohere and GPT-5.6 Sol 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 Sol 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 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%.

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

North Mini Code 1.0 supports an unknown number of tokens and GPT-5.6 Sol 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 Sol?

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 Sol?

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

Related comparisons