North Mini Code (free) Open vs 
GPT-4 Paid
North Mini Code (free) vs GPT-4 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
Free /M outputNo per-token fees if you self-host
$60 /M outputManaged API (no infra to run)
North Mini Code (free) vs GPT-4 specs
| Spec | North Mini Code (free) | GPT-4 | Winner |
|---|---|---|---|
| Maker | Cohere | OpenAI | – |
| Type | Open-weight | Proprietary | |
| Context window | 256K tokens | 8K tokens | |
| Input price | Free/M · free self-host | $30/M | |
| Output price | Free/M · free self-host | $60/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | Open weights | Proprietary |
Price gap & when to choose each
- You want to self-host or run on your cloud
- You need the longer 256K context window
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | North Mini Code (free) | GPT-4 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: North Mini Code (free) vs GPT-4
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How North Mini Code (free) and GPT-4 score
| Criterion | North Mini Code (free) | GPT-4 |
|---|---|---|
| Cost-efficiency | 5.0 | 2.0 |
| Context window | 4.0 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
North Mini Code (free) Open
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...
GPT-4 Paid
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
Frequently asked questions
Is North Mini Code (free) as good as GPT-4?
North Mini Code (free) is open-weight and competitive on many tasks, but GPT-4 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run North Mini Code (free) locally?
Yes. North Mini Code (free) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-4 is API-only and cannot be self-hosted.
North Mini Code (free) vs GPT-4 — which should I pick in 2026?
Choose North Mini Code (free) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4 if you want frontier capability through a managed API with zero infrastructure to run.
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