Qwen3-32B vs gpt-oss-120b
Specs, VRAM requirements and download trends — updated 10 November 2026.
openai · B · Open weights
Params
120.4 B
Context
131,072
30d
2.4 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B | gpt-oss-120b |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 32.8 B | 120.4 B |
| Architecture | Qwen3ForCausalLM | GptOssForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,980,175 | 2,417,644 |
| Downloads all time | 62.7 M | 62.0 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2025-08-04 |
| API input price / 1M tokens | $0.08 | $0.15 |
| API output price / 1M tokens | $0.28 | $0.60 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.75 |
| Cached input / 1M tokens | — | $0.075 |
| AA Intelligence Index | — | 3.8 |
| AA Coding Index | 15.3 | 30.4 |
| AA Agentic Index | 0.9 | 3.7 |
| Max output tokens | 16,384 | 65,536 |
| API providers | 3 | 22 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-32B
$0.36
gpt-oss-120b
$0.75
Qwen3-32B is 2.1× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
8.0 M2.4 M
Qwen3-32B
gpt-oss-120b
A overtook B on 26 Oct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B · fp16
77.5 GB / 24 GB
gpt-oss-120b · fp16 @ 128K ctx
433.0 GB / 24 GB