gpt-oss-20b vs Qwen3-14B
Specs, VRAM requirements and download trends — updated 10 November 2026.
openai · A · Open weights
Params
21.5 B
Context
131,072
30d
5.8 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt-oss-20b | Qwen3-14B |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 21.5 B | 14.8 B |
| Architecture | GptOssForCausalLM | Qwen3ForCausalLM |
| Context length | 131,072 | 40,960 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 5,830,063 | 12,904,408 |
| Downloads all time | 108.5 M | 46.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-04 | 2025-04-27 |
| API input price / 1M tokens | $0.03 | $0.10 |
| API output price / 1M tokens | $0.13 | $0.22 |
| Est. cost per 1M input + 1M output tokens | $0.16 | $0.32 |
| Cached input / 1M tokens | $0.03 | — |
| AA Intelligence Index | — | — |
| AA Coding Index | 20.7 | 13.8 |
| AA Agentic Index | 1.2 | 0.9 |
| Max output tokens | 117,964 | 36,864 |
| API providers | 10 | 2 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
gpt-oss-20b
$0.16
Qwen3-14B
$0.32
gpt-oss-20b is 2.0× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
13.0 M1.6 M
gpt-oss-20b
Qwen3-14B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-14B · fp16
35.2 GB / 24 GB
gpt-oss-20b · fp16 @ 128K ctx
82.4 GB / 24 GB