Model Comparison

North Mini Code 1.0 vs Kimi K2.7 CodeWhich is better in 2026?

Comparing North Mini Code 1.0 and Kimi K2.7 Code across benchmarks, pricing, and capabilities.

Verdict: North Mini Code 1.0 vs Kimi K2.7 Code — which is better?

North Mini Code 1.0 (by Cohere) and Kimi K2.7 Code (by Moonshot 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.

Choose North Mini Code 1.0 if…

  • you are already invested in the Cohere ecosystem

Choose Kimi K2.7 Code if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

North Mini Code 1.0 and Kimi K2.7 Codedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

970.0B diff

Kimi K2.7 Code has 970.0B more parameters than North Mini Code 1.0, making it 3233.3% larger.

Cohere
North Mini Code 1.0
30.0Bparameters
Moonshot AI
Kimi K2.7 Code
1.0Tparameters
30.0B
North Mini Code 1.0
1000.0B
Kimi K2.7 Code

Context Window

Maximum input and output token capacity

Only Kimi K2.7 Code specifies input context (262,144 tokens). Only Kimi K2.7 Code specifies output context (131,072 tokens).

Cohere
North Mini Code 1.0
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K2.7 Code supports multimodal inputs, whereas North Mini Code 1.0 does not.

Kimi K2.7 Code 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

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

North Mini Code 1.0 is licensed under Apache 2.0, while Kimi K2.7 Code uses Modified MIT 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

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

North Mini Code 1.0 was released on 2026-06-09, while Kimi K2.7 Code was released on 2026-06-12.

Kimi K2.7 Code is 0 month newer than North Mini Code 1.0.

North Mini Code 1.0

Jun 9, 2026

1 months ago

Kimi K2.7 Code

Jun 12, 2026

1 months ago

3d 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.

Moonshot AI
Larger context window (262,144 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against North Mini Code 1.0 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.

North Mini Code 1.0
✓ Preferred
Kimi K2.7 Code
Open in Playground
AI Model Comparison Table
Feature
Cohere
North Mini Code 1.0
Moonshot AI
Kimi K2.7 Code

FAQ

Common questions about North Mini Code 1.0 vs Kimi K2.7 Code.

Which is better, North Mini Code 1.0 or Kimi K2.7 Code?

North Mini Code 1.0 (Cohere) and Kimi K2.7 Code (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does North Mini Code 1.0 compare to Kimi K2.7 Code 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%. Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

What are the context window sizes for North Mini Code 1.0 and Kimi K2.7 Code?

North Mini Code 1.0 supports an unknown number of tokens and Kimi K2.7 Code supports 262K 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 Kimi K2.7 Code?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes North Mini Code 1.0 and Kimi K2.7 Code?

North Mini Code 1.0 is developed by Cohere and Kimi K2.7 Code is developed by Moonshot AI.

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