GPT-5 vs North Mini Code
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-5 is meaningfully stronger at multimodal (83 vs 5 on our capability index).
- •North Mini Code is meaningfully stronger at speed (88 vs 68).
- •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 400,000 tokens (128,000 max output) - better for whole-repo or long-document work.
Specs comparison
| GPT-5 | North Mini Code | |
|---|---|---|
| Provider | OpenAI | Cohere |
| Type | Closed source | Closed source |
| Context window | 400,000 tokens (128,000 max output) | ✓256K tokens |
| Input / 1M tokens | $1.25 | ✓0 |
| Output / 1M tokens | $10.00 | 0 |
| Release date | 2025-08 | 2026-06 |
Benchmarks
| Benchmark | GPT-5 | North Mini Code |
|---|---|---|
| SWE-bench Verified | 74.9% | - |
| AIME 2025 | 94.6% | - |
| GPQA (GPT-5 pro) | 88.4% | - |
| 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 if...
- →You want strong reasoning at the lowest frontier-model price
- →Existing GPT-5-based systems that are already tuned and validated
- →General coding, math, and reasoning workloads on a budget
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