specs at a glance

Leaderboard statusVerifying — no confirmed SWE-bench Verified score
SWE-bench Verified
SWE-bench Pro
Terminal-Bench
Input price / 1MFree
Output price / 1MFree
Context window256K
Open weightsYes
AccessOpen weights · self-host (single H100)
MakerCohere

how good is Cohere North Mini Code at coding?

Cohere North Mini Code is on our board but deliberately unranked. We rank by SWE-bench Verified, Cohere has not published that number, and no independent evaluation has run it, so there is nothing here we could stand behind. It moves into the ranking the moment a confirmed score exists.

Score provenance: Open-weight ~30B mixture-of-experts coder, free to use, runs on a single H100 with 256K context. Cohere published no SWE-bench Verified/Pro or independent coding eval, so it stays unranked pending confirmation (verifying). vals.ai has not run this model. Worth noting for expectations — the only Cohere model on its board, Command A, scores 7.8%, by far the lowest of the 80 systems tested, though that is a general-purpose model rather than this code-tuned one.

Re-checked 2026-09-09: vals.ai's SWE-bench Verified board is unchanged since the September 1 archival and still shows no evaluation for this model; all previously-tracked ranked scores were also re-verified this run and hold within normal variance (largest drift under 0.4pp).

what does Cohere North Mini Code cost?

Free per 1M input tokens and Free per 1M output — as listed by the maker. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.

where can you use it?

Available via Open weights · self-host (single H100). Because it ships open weights, you can also self-host it on your own hardware or any inference provider — with the version pinned so the model can't change under you.

More coverageAI coding models on GENZ TECH

Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-09-03.