GPT-5.5 vs North Mini Code
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-5.5 is meaningfully stronger at multimodal (85 vs 5 on our capability index).
- •North Mini Code is meaningfully stronger at cost efficiency (92 vs 58).
- •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 1,050,000 tokens (128,000 max output) - better for whole-repo or long-document work.
Specs comparison
| GPT-5.5 | North Mini Code | |
|---|---|---|
| Provider | OpenAI | Cohere |
| Type | Closed source | Closed source |
| Context window | 1,050,000 tokens (128,000 max output) | ✓256K tokens |
| Input / 1M tokens | $5.00 | ✓0 |
| Output / 1M tokens | $30.00 | 0 |
| Release date | 2026-04 | 2026-06 |
Benchmarks
| Benchmark | GPT-5.5 | North Mini Code |
|---|---|---|
| SWE-bench Verified | 82.6% | - |
| SWE-bench Pro | 58.6% | - |
| 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-5.5 if...
- →Complex professional coding, data analysis, and multi-tool agentic workflows
- →Long-document or large-codebase tasks needing a 1M+ context window
- →You want OpenAI's recommended default frontier model for new projects
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