North Mini Code (free) is free for input tokens while Qwen3.6 27B costs $0.6 per 1M tokens.
API cost decision in 10 seconds
North Mini Code (free) vs Qwen3.6 27B
Pick North Mini Code (free) for lower cost; pick Qwen3.6 27B only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick North Mini Code (free) for lower cost; pick Qwen3.6 27B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, North Mini Code (free) is estimated at $0 vs $2.4 for Qwen3.6 27B, saving $2.4 (100% lower).
Cost-first pickNorth Mini Code (free)
Context-first pickQwen3.6 27B
Sample savings$2.4100%
10x traffic gap$24
Qwen3.6 27B has more context, but North Mini Code (free) saves $2.4 on the standard workload. At 10x that traffic, the same price gap is about $24. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
North Mini Code (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | North Mini Code (free) | Qwen3.6 27B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | North Mini Code (free) | $0 | $4.8 |
| Balanced workload | 1M input + 1M output | North Mini Code (free) | $0 | $4.2 |
| Output-heavy chatbot | 1M input + 5M output | North Mini Code (free) | $0 | $18.6 |
North Mini Code (free) is free for output tokens while Qwen3.6 27B costs $3.6 per 1M tokens.
Qwen3.6 27B has 6.14K more context (1.02x larger).
North Mini Code (free) is free for the standard workload while the other model is estimated at $2.4.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
North Mini Code (free) has the lower input price; North Mini Code (free) has the lower output price; Qwen3.6 27B offers the larger context window. For the 1M input plus 500K output sample, North Mini Code (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for North Mini Code (free) and $2.4 for Qwen3.6 27B.
Choose North Mini Code (free) when you care most about lower input-token price, and lower output-token price.
Choose Qwen3.6 27B when you care most about larger context window.
- On the standard 1M input plus 500K output workload, North Mini Code (free) is estimated at $0 vs $2.4 for Qwen3.6 27B, saving $2.4 (100% lower).
- North Mini Code (free) is free for the standard workload while the other model is estimated at $2.4.
- North Mini Code (free) is free for input tokens while Qwen3.6 27B costs $0.6 per 1M tokens.
- North Mini Code (free) is free for output tokens while Qwen3.6 27B costs $3.6 per 1M tokens.
- Qwen3.6 27B has 6.14K more context (1.02x larger).
| Feature | North Mini Code (free) (Cohere) | Qwen3.6 27B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.6 |
| Completion Price per 1M tokens | $0 | $3.6 |
| Sample Workload Cost 1M input + 500K output | $0 | $2.4 |
| Context Window | 256K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | North Mini Code (free) | On the standard 1M input plus 500K output workload, North Mini Code (free) is estimated at $0 vs $2.4 for Qwen3.6 27B, saving $2.4 (100% lower). |
| High-volume input processing | North Mini Code (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | North Mini Code (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.6 27B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.6 27B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 27B when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.6 27B when lower sample workload cost matters most: $0.1.
- Qwen3 30B A3B Instruct 2507 can replace Qwen3.6 27B when lower sample workload cost matters most: $0.14.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsCohere catalog
Review all tracked Cohere models before deciding whether this matchup is the right shortlist.
Open Cohere modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsNorth Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...