CohereLabs models
3 CohereLabs models on Hugging Face, from 2.1B to 30.5B parameters. At the precision each one is published in, the smallest needs about 4.6 GB of VRAM (cohere-transcribe-03-2026, cheapest live fit: RTX 5060 Ti) and the largest about 68.1 GB (North-Mini-Code-1.0, cheapest live fit: A100). The cheapest way to run cohere-transcribe-03-2026 is $0.110/hr.
CohereLabs models
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| cohere-transcribe-03-2026 | 2.1B | BF16 | 4.6 GB | RTX 5060 Ti | $0.110/hr |
| cohere-transcribe-arabic-07-2026 | 2.1B | BF16 | 4.6 GB | RTX 5060 Ti | $0.110/hr |
| North-Mini-Code-1.0 | 30.5B | BF16 | 68.1 GB | A100 | $1.31/hr |
VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
