Model Comparison
North Mini Code 1.0 vs DeepSeek-V4-Flash-MaxWhich is better in 2026?
DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.
Verdict: North Mini Code 1.0 vs DeepSeek-V4-Flash-Max — which is better?
North Mini Code 1.0 (by Cohere) and DeepSeek-V4-Flash-Max (by DeepSeek) 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 DeepSeek-V4-Flash-Max is better at 3 benchmarks (SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0). DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.
Choose North Mini Code 1.0 if…
- you want the most recent training data — it shipped Jun 2026
Choose DeepSeek-V4-Flash-Max if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
North Mini Code 1.0 outperforms in 0 benchmarks, while DeepSeek-V4-Flash-Max is better at 3 benchmarks (SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).
DeepSeek-V4-Flash-Max significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-V4-Flash-Max has 254.0B more parameters than North Mini Code 1.0, making it 846.7% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Flash-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Max specifies output context (65,536 tokens).
License
Usage and distribution terms
North Mini Code 1.0 is licensed under Apache 2.0, while DeepSeek-V4-Flash-Max uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
North Mini Code 1.0 was released on 2026-06-09, while DeepSeek-V4-Flash-Max was released on 2026-04-23.
North Mini Code 1.0 is 2 months newer than DeepSeek-V4-Flash-Max.
Jun 9, 2026
1 months ago
1mo newerApr 23, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against North Mini Code 1.0 and DeepSeek-V4-Flash-Max side-by-side, then vote on the output you prefer.
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FAQ
Common questions about North Mini Code 1.0 vs DeepSeek-V4-Flash-Max.