LLM Comparison
GPT-6 Luna vs North Mini Code
Side-by-side specs, pricing & capabilities · Updated September 2026
Add to comparison
2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 16 | |
| Family | GPT-6 | North |
| Status | Current | Current |
| Release Date | Sep 2026 | Jun 2026 |
| Context Window | 1.1M tokens | 262K tokens |
| Input Price | $0.10/M tokens | Free |
| Output Price | $0.50/M tokens | Free |
| Pricing Notes | OpenAI standard API, USD per million tokens for prompts up to 272K input tokens: $0.10 input, $0.01 cached input, $0.125 cache writes, $0.50 output. Above 272K input tokens, the full request costs 2x input/cache and 1.5x output. Batch/Flex cost 50% of Standard; Fast costs 2x; regional processing adds 10% where available. Reasoning output tokens are charged at output rates. | Cohere's official model documentation states North Mini Code is free for trial and production API keys until rate limits are reached; Model Vault production deployment is also supported. |
| Capabilities | textvisionreasoningcodingtool-uselong-contextcontext-caching | reasoningagentic-codingtool-usestructured-outputmultilinguallocal-deployment |
| Training Cutoff | 2026-05-18 | — |
| Max Output | 128K tokens | 66K tokens |
| API Identifier | gpt-6-luna | north-mini-code-1-0 |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.3.2 | 37.2559686869738artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.1 | — | 20artificial-analysis |
| GPQA Diamond | — | 75.6566artificial-analysis |
| SciCode | — | 38.7731artificial-analysis |
| Terminal-Bench 2.1 | — | 35.5805artificial-analysis |
| View GPT-6 Luna | View North Mini Code | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| North Mini CodeCheapest | $0.00 | $0.00 | $0.00 | — |
| GPT-6 Luna | $0.10 | $0.25 | $0.35 | +0% |
OpenAI
GPT-6 Luna
GPT-6 Luna is OpenAI's efficient reasoning model for focused, high-volume tasks. It accepts text and images, produces text, supports a 1,050,000-token context window and 128,000 output tokens, and is available through the Responses and Chat Completions APIs under the exact gpt-6-luna identifier.
Cohere
North Mini Code
North Mini Code is Cohere's open-weight Mixture-of-Experts model for agentic coding, repository-level software engineering, terminal workflows, tool use, and local deployment.
More Comparisons
Looking for more AI models?
Browse All LLMs