Model comparison
GLM-ASR-Nano-2512 vs cohere-transcribe-03-2026
These two publish different quantization sets; the table below has the exact sizes.
From the file· summed bytes, KV per layer
Side by side
| GLM-ASR-Nano-2512 | cohere-transcribe-03-2026 | |
|---|---|---|
| Parameters | 2.3B | 2.1B |
| Architecture | glmasr | cohere_asr |
| Layers | 28 | — |
| Native context | 8,192 | — |
| Mixture of experts | no | no |
| Quantizations published | 5 | 11 |
| Smallest quantization | 0.91 GiB | 1.41 GiB |
| Q4_K_M | — | 1.45 GiB |
| Licence | mit | apache-2.0 |
KV cache by context
the term that decides long-context viability
| Context | GLM-ASR-Nano-2512 | cohere-transcribe-03-2026 | Ratio |
|---|---|---|---|
| 4,096 | 0.22 GiB | — | — |
| 8,192 | 0.44 GiB | — | — |
| 16,384 | 0.88 GiB | — | — |
| 32,768 | 1.75 GiB | — | — |
| 65,536 | 3.50 GiB | — | — |
| 131,072 | 7.00 GiB | — | — |