Model Comparison

North Mini Code 1.0 vs GLM-5.2Which is better in 2026?

GLM-5.2 significantly outperforms across most benchmarks.

Verdict: North Mini Code 1.0 vs GLM-5.2 — which is better?

North Mini Code 1.0 (by Cohere) and GLM-5.2 (by Zhipu AI) 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 GLM-5.2 is better at 1 benchmark (SWE-Bench Pro). GLM-5.2 significantly outperforms across most benchmarks.

Choose North Mini Code 1.0 if…

  • you are already invested in the Cohere ecosystem

Choose GLM-5.2 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

North Mini Code 1.0 outperforms in 0 benchmarks, while GLM-5.2 is better at 1 benchmark (SWE-Bench Pro).

GLM-5.2 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

723.0B diff

GLM-5.2 has 723.0B more parameters than North Mini Code 1.0, making it 2410.0% larger.

Cohere
North Mini Code 1.0
30.0Bparameters
Zhipu AI
GLM-5.2
753.0Bparameters
30.0B
North Mini Code 1.0
753.0B
GLM-5.2

Context Window

Maximum input and output token capacity

Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (131,072 tokens).

Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

License

Usage and distribution terms

North Mini Code 1.0 is licensed under Apache 2.0, while GLM-5.2 uses MIT.

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

GLM-5.2

MIT

Open weights

Release Timeline

When each model was launched

North Mini Code 1.0 was released on 2026-06-09, while GLM-5.2 was released on 2026-06-16.

GLM-5.2 is 0 month newer than North Mini Code 1.0.

North Mini Code 1.0

Jun 9, 2026

1 months ago

GLM-5.2

Jun 16, 2026

1 months ago

1w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere

No standout differentiators in the data we have for this pair.

Zhipu AI
Larger context window (1,048,576 tokens)
Higher SWE-Bench Pro score (62.1% vs 40.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against North Mini Code 1.0 and GLM-5.2 side-by-side, then vote on the output you prefer.

North Mini Code 1.0
✓ Preferred
GLM-5.2
Open in Playground
AI Model Comparison Table
Feature
Cohere
North Mini Code 1.0
Zhipu AI
GLM-5.2

FAQ

Common questions about North Mini Code 1.0 vs GLM-5.2.

Which is better, North Mini Code 1.0 or GLM-5.2?

GLM-5.2 significantly outperforms across most benchmarks. North Mini Code 1.0 is made by Cohere and GLM-5.2 is made by Zhipu AI. 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 GLM-5.2 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%. GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%.

What are the context window sizes for North Mini Code 1.0 and GLM-5.2?

North Mini Code 1.0 supports an unknown number of tokens and GLM-5.2 supports 1.0M 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 GLM-5.2?

Key differences include licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes North Mini Code 1.0 and GLM-5.2?

North Mini Code 1.0 is developed by Cohere and GLM-5.2 is developed by Zhipu AI.

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