GPT-4o vs North Mini Code
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-4o is meaningfully stronger at multimodal (80 vs 5 on our capability index).
- •North Mini Code is meaningfully stronger at long context (82 vs 55).
- •North Mini Code is 100% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •North Mini Code has a 256K tokens context window vs 128,000 tokens (16,384 max output) - better for whole-repo or long-document work.
Specs comparison
| GPT-4o | North Mini Code | |
|---|---|---|
| Provider | OpenAI | Cohere |
| Type | Closed source | Closed source |
| Context window | 128,000 tokens (16,384 max output) | ✓256K tokens |
| Input / 1M tokens | $2.50 | ✓0 |
| Output / 1M tokens | $10.00 | 0 |
| Release date | 2024-05 | 2026-06 |
Benchmarks
| Benchmark | GPT-4o | North Mini Code |
|---|---|---|
| MMLU | 88.7% | - |
| HumanEval | 90.2% | - |
| MATH | 76.6% | - |
| Artificial Analysis Coding Index | - | 33.4 |
| Throughput vs Devstral Small 2 | - | Up to 2.8x higher output throughput |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose GPT-4o if...
- →Everyday assistant, drafting, summarization, and classification tasks
- →Latency- and cost-sensitive applications at scale
- →Multimodal tasks needing image understanding with fast responses
Choose North Mini Code if...
- →You want a self-hostable, sovereign coding agent on modest hardware
- →You run agentic SWE workflows (repo edits, sub-agent orchestration, code review)
- →You need terminal/tool-driven multi-turn agents
- →You want high coding throughput at low compute cost