Qwen2.5-Coder-32B-Instruct-AWQ vs Qwen3-Coder-Next-FP8-dynamic
Specs, VRAM requirements and download trends — updated 3 August 2026.
Qwen · A · Open weights
Params
32.8 B
Context
32,768
30d
972 K
apache-2.0 · commercial OK
RedHatAI · B · Open weights
Params
79.8 B
Context
262,144
30d
170 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-Coder-32B-Instruct-AWQ | Qwen3-Coder-Next-FP8-dynamic |
|---|---|---|
| Parameters | 32.8 B | 79.8 B |
| Architecture | Qwen2ForCausalLM | Qwen3NextForCausalLM |
| Context length | 32,768 | 262,144 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 971,501 | 169,988 |
| Downloads all time | 13.0 M | 1.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-11-09 | 2026-02-27 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.5 M170 K
Qwen2.5-Coder-32B-Instruct-AWQ
Qwen3-Coder-Next-FP8-dynamic
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Coder-32B-Instruct-AWQ · fp16
26.7 GB / 24 GB
Qwen3-Coder-Next-FP8-dynamic · fp16 @ 256K ctx
473.2 GB / 24 GB
Adjacent comparisons
Qwen3-14B vs Qwen2.5-Coder-32B-Instruct-AWQ
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gpt-oss-20b vs Qwen2.5-Coder-32B-Instruct-AWQ
Qwen3-32B vs Qwen2.5-Coder-32B-Instruct-AWQ
OTel-2.0-Decision-26B-A4B-4bit vs Qwen2.5-Coder-32B-Instruct-AWQ
Qwen2.5-Coder-14B-Instruct vs Qwen2.5-Coder-32B-Instruct-AWQ