Model Comparison

Qwen3.6-27B vs North Mini Code 1.0Which is better in 2026?

Qwen3.6-27B significantly outperforms across most benchmarks.

Verdict: Qwen3.6-27B vs North Mini Code 1.0 — which is better?

Qwen3.6-27B (by Alibaba Cloud / Qwen Team) 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.

Qwen3.6-27B outperforms in 4 benchmarks (LiveCodeBench v6, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while North Mini Code 1.0 is better at 0 benchmarks. Qwen3.6-27B significantly outperforms across most benchmarks.

Choose Qwen3.6-27B if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Choose North Mini Code 1.0 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.6-27B outperforms in 4 benchmarks (LiveCodeBench v6, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while North Mini Code 1.0 is better at 0 benchmarks.

Qwen3.6-27B significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2.2B diff

North Mini Code 1.0 has 2.2B more parameters than Qwen3.6-27B, making it 8.0% larger.

Alibaba Cloud / Qwen Team
Qwen3.6-27B
27.8Bparameters
Cohere
North Mini Code 1.0
30.0Bparameters
27.8B
Qwen3.6-27B
30.0B
North Mini Code 1.0

Context Window

Maximum input and output token capacity

Only Qwen3.6-27B specifies input context (262,144 tokens). Only Qwen3.6-27B specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input262,144 tokens
Output65,536 tokens
Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.6-27B supports multimodal inputs, whereas North Mini Code 1.0 does not.

Qwen3.6-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.6-27B

Text
Images
Audio
Video

North Mini Code 1.0

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3.6-27B

Apache 2.0

Open weights

North Mini Code 1.0

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.6-27B was released on 2026-04-21, while North Mini Code 1.0 was released on 2026-06-09.

North Mini Code 1.0 is 2 months newer than Qwen3.6-27B.

Qwen3.6-27B

Apr 21, 2026

2 months ago

North Mini Code 1.0

Jun 9, 2026

1 months ago

1mo 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

Alibaba Cloud / Qwen Team

Qwen3.6-27B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher LiveCodeBench v6 score (83.9% vs 70.3%)
Higher SWE-Bench Pro score (53.5% vs 40.2%)
Higher SWE-Bench Verified score (77.2% vs 67.6%)
Higher Terminal-Bench 2.0 score (59.3% vs 36.0%)

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.6-27B and North Mini Code 1.0 side-by-side, then vote on the output you prefer.

Qwen3.6-27B
✓ Preferred
North Mini Code 1.0
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Cohere
North Mini Code 1.0

FAQ

Common questions about Qwen3.6-27B vs North Mini Code 1.0.

Which is better, Qwen3.6-27B or North Mini Code 1.0?

Qwen3.6-27B significantly outperforms across most benchmarks. Qwen3.6-27B is made by Alibaba Cloud / Qwen Team 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 Qwen3.6-27B compare to North Mini Code 1.0 in benchmarks?

Qwen3.6-27B scores CountBench: 97.8%, VLMsAreBlind: 97.0%, V*: 94.7%, AIME 2026: 94.1%, HMMT 2025: 93.8%. 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 Qwen3.6-27B and North Mini Code 1.0?

Qwen3.6-27B supports 262K 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 Qwen3.6-27B and North Mini Code 1.0?

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

Who makes Qwen3.6-27B and North Mini Code 1.0?

Qwen3.6-27B is developed by Alibaba Cloud / Qwen Team and North Mini Code 1.0 is developed by Cohere.