gpt-oss-20b vs Mistral-Small-24B-Instruct-2501-AWQ
Specs, VRAM requirements and download trends — updated 6 August 2026.
stelterlab · B
Params
23.6 B
Context
32,768
30d
255 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt-oss-20b | Mistral-Small-24B-Instruct-2501-AWQ |
|---|---|---|
| Parameters | 21.5 B | 23.6 B |
| Architecture | GptOssForCausalLM | MistralForCausalLM |
| Context length | 131,072 | 32,768 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 10 |
| Downloads 30d | 8,616,555 | 254,550 |
| Downloads all time | 87.8 M | 2.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-04 | 2025-01-30 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.6 M236 K
gpt-oss-20b
Mistral-Small-24B-Instruct-2501-AWQ
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Mistral-Small-24B-Instruct-2501-AWQ · fp16
19.7 GB / 24 GB
gpt-oss-20b · fp16 @ 128K ctx
82.4 GB / 24 GB