gpt-oss-120b vs Qwen3-Coder-Next
Specs, VRAM requirements and download trends — updated 10 November 2026.
openai · A · Open weights
Params
120.4 B
Context
131,072
30d
2.4 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
79.7 B
Context
262,144
30d
426 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt-oss-120b | Qwen3-Coder-Next |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 120.4 B | 79.7 B |
| Architecture | GptOssForCausalLM | Qwen3NextForCausalLM |
| Context length | 131,072 | 262,144 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,417,644 | 426,195 |
| Downloads all time | 62.0 M | 7.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-04 | 2026-01-30 |
| API input price / 1M tokens | $0.15 | $0.12 |
| API output price / 1M tokens | $0.60 | $0.80 |
| Est. cost per 1M input + 1M output tokens | $0.75 | $0.92 |
| Cached input / 1M tokens | $0.075 | $0.07 |
| AA Intelligence Index | 3.8 | — |
| AA Coding Index | 30.4 | 36.2 |
| AA Agentic Index | 3.7 | 0.9 |
| Max output tokens | 65,536 | 235,929 |
| API providers | 22 | 1 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | No |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
gpt-oss-120b
$0.75
Qwen3-Coder-Next
$0.92
gpt-oss-120b is 1.2× cheaper at list price.
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
5.5 M385 K
gpt-oss-120b
Qwen3-Coder-Next
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt-oss-120b · fp16 @ 128K ctx
433.0 GB / 24 GB
Qwen3-Coder-Next · fp16 @ 256K ctx
558.2 GB / 24 GB