North Mini Code (free) is free for input tokens while GPT-5.6 Sol Pro (batch) costs $1 per 1M tokens.
API cost decision in 10 seconds
GPT-5.6 Sol Pro (batch) vs North Mini Code (free)
Pick North Mini Code (free) for lower cost; pick GPT-5.6 Sol Pro (batch) only if the larger context window matters more.
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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 GPT-5.6 Sol Pro (batch) 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 $3.5 for GPT-5.6 Sol Pro (batch), saving $3.5 (100% lower).
Cost-first pickNorth Mini Code (free)
Context-first pickGPT-5.6 Sol Pro (batch)
Sample savings$3.5100%
10x traffic gap$35
GPT-5.6 Sol Pro (batch) has more context, but North Mini Code (free) saves $3.5 on the standard workload. At 10x that traffic, the same price gap is about $35. 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 | GPT-5.6 Sol Pro (batch) | North Mini Code (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | North Mini Code (free) | $7.5 | $0 |
| Balanced workload | 1M input + 1M output | North Mini Code (free) | $6 | $0 |
| Output-heavy chatbot | 1M input + 5M output | North Mini Code (free) | $26 | $0 |
North Mini Code (free) is free for output tokens while GPT-5.6 Sol Pro (batch) costs $5 per 1M tokens.
GPT-5.6 Sol Pro (batch) has 794K more context (4.1x larger).
North Mini Code (free) is free for the standard workload while the other model is estimated at $3.5.
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; GPT-5.6 Sol Pro (batch) 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 $3.5 for GPT-5.6 Sol Pro (batch) and $0 for North Mini Code (free).
Choose GPT-5.6 Sol Pro (batch) when you care most about larger context window.
Choose North Mini Code (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, North Mini Code (free) is estimated at $0 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $3.5 (100% lower).
- North Mini Code (free) is free for the standard workload while the other model is estimated at $3.5.
- North Mini Code (free) is free for input tokens while GPT-5.6 Sol Pro (batch) costs $1 per 1M tokens.
- North Mini Code (free) is free for output tokens while GPT-5.6 Sol Pro (batch) costs $5 per 1M tokens.
- GPT-5.6 Sol Pro (batch) has 794K more context (4.1x larger).
| Feature | GPT-5.6 Sol Pro (batch) (OpenAI) | North Mini Code (free) (Cohere) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0 |
| Completion Price per 1M tokens | $5 | $0 |
| Sample Workload Cost 1M input + 500K output | $3.5 | $0 |
| Context Window | 1.05M | 256K |
| 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 $3.5 for GPT-5.6 Sol Pro (batch), saving $3.5 (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 | GPT-5.6 Sol Pro (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.12.
- 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
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Open Cohere modelsGPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
North 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...