Model Comparison

GLM-5 vs North Mini Code 1.0Which is better in 2026?

GLM-5 significantly outperforms across most benchmarks.

Verdict: GLM-5 vs North Mini Code 1.0 — which is better?

GLM-5 (by Zhipu AI) 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.

GLM-5 outperforms in 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0), while North Mini Code 1.0 is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.

Choose GLM-5 if…

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

Choose North Mini Code 1.0 if…

  • you want the most recent training data — it shipped Jun 2026
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0), while North Mini Code 1.0 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Sat Jun 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

714.0B diff

GLM-5 has 714.0B more parameters than North Mini Code 1.0, making it 2380.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Cohere
North Mini Code 1.0
30.0Bparameters
744.0B
GLM-5
30.0B
North Mini Code 1.0

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
Sat Jun 20 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, 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.

GLM-5

MIT

Open weights

North Mini Code 1.0

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while North Mini Code 1.0 was released on 2026-06-09.

North Mini Code 1.0 is 4 months newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

North Mini Code 1.0

Jun 9, 2026

1 weeks ago

3mo 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

Zhipu AI
Larger context window (200,000 tokens)
Higher SWE-Bench Verified score (77.8% vs 67.6%)
Higher Terminal-Bench 2.0 score (56.2% vs 36.0%)
Cohere

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Cohere
North Mini Code 1.0

FAQ

Common questions about GLM-5 vs North Mini Code 1.0.

Which is better, GLM-5 or North Mini Code 1.0?

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI 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 GLM-5 compare to North Mini Code 1.0 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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 GLM-5 and North Mini Code 1.0?

GLM-5 supports 200K 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 GLM-5 and North Mini Code 1.0?

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

Who makes GLM-5 and North Mini Code 1.0?

GLM-5 is developed by Zhipu AI and North Mini Code 1.0 is developed by Cohere.

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