Model Comparison

North Mini Code 1.0 vs GPT-5.5Which is better in 2026?

GPT-5.5 significantly outperforms across most benchmarks.

Verdict: North Mini Code 1.0 vs GPT-5.5 — which is better?

North Mini Code 1.0 (by Cohere) and GPT-5.5 (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-5.5 is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.0). GPT-5.5 significantly outperforms across most benchmarks.

Choose North Mini Code 1.0 if…

  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune

Choose GPT-5.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

North Mini Code 1.0 outperforms in 0 benchmarks, while GPT-5.5 is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.0).

GPT-5.5 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-5.5 specifies input context (1,050,000 tokens). Only GPT-5.5 specifies output context (128,000 tokens).

Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
OpenAI
GPT-5.5
Input1,050,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.5 supports multimodal inputs, whereas North Mini Code 1.0 does not.

GPT-5.5 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-5.5

Text
Images
Audio
Video

License

Usage and distribution terms

North Mini Code 1.0 is licensed under Apache 2.0, while GPT-5.5 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-5.5

Proprietary

Closed source

Release Timeline

When each model was launched

North Mini Code 1.0 was released on 2026-06-09, while GPT-5.5 was released on 2026-04-23.

North Mini Code 1.0 is 2 months newer than GPT-5.5.

North Mini Code 1.0

Jun 9, 2026

1 months ago

1mo newer
GPT-5.5

Apr 23, 2026

2 months ago

Knowledge Cutoff

When training data ends

GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while North Mini Code 1.0's cutoff date is not specified.

We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without North Mini Code 1.0's cutoff date.

North Mini Code 1.0

—

GPT-5.5

Dec 2025

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 (58.6% vs 40.2%)
Higher Terminal-Bench 2.0 score (82.7% vs 36.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against North Mini Code 1.0 and GPT-5.5 side-by-side, then vote on the output you prefer.

North Mini Code 1.0
✓ Preferred
GPT-5.5
Open in Playground
AI Model Comparison Table
Feature
Cohere
North Mini Code 1.0
OpenAI
GPT-5.5

FAQ

Common questions about North Mini Code 1.0 vs GPT-5.5.

Which is better, North Mini Code 1.0 or GPT-5.5?

GPT-5.5 significantly outperforms across most benchmarks. North Mini Code 1.0 is made by Cohere and GPT-5.5 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-5.5 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-5.5 scores Tau2 Telecom: 98.0%, ARC-AGI: 95.0%, GPQA: 93.6%, ARC-AGI v2: 85.0%, GDPval-MM: 84.9%.

What are the context window sizes for North Mini Code 1.0 and GPT-5.5?

North Mini Code 1.0 supports an unknown number of tokens and GPT-5.5 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-5.5?

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-5.5?

North Mini Code 1.0 is developed by Cohere and GPT-5.5 is developed by OpenAI.

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