Head-to-head comparison
North Mini Code (Cohere) and Qwen3 4B Instruct 2507 (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, North Mini Code holds the stronger ModelCap Index position (#127 vs #128); and Qwen3 4B Instruct 2507 offers the longer context window (262K vs 256K tokens).
Evidence: 3 reported rows against measured corpus ladders (55%); publisher-corpus-prior over 182 held-out anchors (45%); shrunk 14.4 toward the measured corpus · publisher-corpus-prior over 182 held-out anchors (19%); launch card against 2 resolved peers on 9 rows (81%); exceeds every named peer on 7 of 9 rows; no cross-lab optimism probe available; shrunk 4.1 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.
Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.
North Mini Code ranks higher on the ModelCap Index as of 9 September 2026: #127 against #128. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.
Qwen3 4B Instruct 2507 has the larger context window: 262K tokens against 256K.
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
North Mini Code: Open weights. Qwen3 4B Instruct 2507: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
ModelCap currently lists 1 API provider for North Mini Code and 0 for Qwen3 4B Instruct 2507, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.