gpt-oss-120b vs GLM-4.7
Specs, VRAM requirements and download trends — updated 24 October 2026.
openai · A · Open weights
Params
120.4 B
Context
131,072
30d
2.9 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt-oss-120b | GLM-4.7 |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 120.4 B | 358.3 B |
| Architecture | GptOssForCausalLM | Glm4MoeForCausalLM |
| Context length | 131,072 | 202,752 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | 2 |
| Downloads 30d | 2,891,100 | 80,924 |
| Downloads all time | 60.4 M | 910 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-04 | 2025-12-22 |
| API input price / 1M tokens | $0.15 | $0.54 |
| API output price / 1M tokens | $0.60 | $1.98 |
| Est. cost per 1M input + 1M output tokens | $0.75 | $2.52 |
| Cached input / 1M tokens | $0.075 | $0.099 |
| AA Intelligence Index | 11.6 | 22.2 |
| AA Coding Index | 30.4 | 45.3 |
| AA Agentic Index | 3.7 | — |
| Max output tokens | 65,536 | 131,072 |
| API providers | 22 | 6 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
gpt-oss-120b
$0.75
GLM-4.7
$2.52
gpt-oss-120b is 3.4× cheaper at list price.
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
5.5 M83 K
gpt-oss-120b
GLM-4.7
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt-oss-120b · fp16 @ 128K ctx
433.0 GB / 24 GB
GLM-4.7 · fp16 @ 198K ctx
2,119.2 GB / 24 GB