Qwen 2.5 Coder 32B Instruct vs Qwen3 32B
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
Qwen3 32B is more hardware-efficient: it needs 23.9 GB at its Q4_K_M build vs 24.6 GB for Qwen 2.5 Coder 32B Instruct's Q4_K_M, fitting on 74 GPUs natively.
VRAM at each quantization (8k context)
FP32
Qwen 2.5 Coder 32B Instruct
148.0 GB
Qwen3 32B
148.4 GB
BF16
Qwen 2.5 Coder 32B Instruct
75.2 GB
Qwen3 32B
75.0 GB
FP16
Qwen 2.5 Coder 32B Instruct
75.2 GB
Qwen3 32B
75.0 GB
Q8_0
Qwen 2.5 Coder 32B Instruct
41.1 GB
Qwen3 32B
40.5 GB
Q6_K
Qwen 2.5 Coder 32B Instruct
32.3 GB
Qwen3 32B
31.7 GB
Q5_K_M
Qwen 2.5 Coder 32B Instruct
28.3 GB
Qwen3 32B
27.7 GB
Q4_K_M
Qwen 2.5 Coder 32B Instruct
24.6 GB
Qwen3 32B
23.9 GB
Q3_K_M
Qwen 2.5 Coder 32B Instruct
19.9 GB
Qwen3 32B
19.2 GB
Q2_K
Qwen 2.5 Coder 32B Instruct
16.3 GB
Qwen3 32B
15.5 GB
NVFP4
Qwen 2.5 Coder 32B Instruct
20.6 GB
Qwen3 32B
19.9 GB
| Quant | Qwen 2.5 Coder 32B Instruct | Qwen3 32B | Diff |
|---|---|---|---|
| FP32 | 148.0 GB | 148.4 GB | -0% |
| BF16 | 75.2 GB | 75.0 GB | +0% |
| FP16 | 75.2 GB | 75.0 GB | +0% |
| Q8_0 | 41.1 GB | 40.5 GB | +1% |
| Q6_K | 32.3 GB | 31.7 GB | +2% |
| Q5_K_M | 28.3 GB | 27.7 GB | +2% |
| Q4_K_M | 24.6 GB | 23.9 GB | +3% |
| Q3_K_M | 19.9 GB | 19.2 GB | +4% |
| Q2_K | 16.3 GB | 15.5 GB | +5% |
| NVFP4 | 20.6 GB | 19.9 GB | +4% |
Diff is Qwen 2.5 Coder 32B Instruct relative to Qwen3 32B. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | Qwen 2.5 Coder 32B Instruct | Qwen3 32B |
|---|---|---|
| Org | Alibaba | Alibaba |
| Parameters | 32.5B | 32.8B |
| Architecture | Dense | Dense |
| Context | 128k tokens | 128k tokens |
| Modalities | text | text |
| License | Apache 2.0 | Apache 2.0 |
| Commercial | Yes | Yes |
| Released | 2024-11-12 | 2025-04-29 |
| GPUs (native) | 70 / 119 | 74 / 119 |
Benchmark scores
| Benchmark | Qwen 2.5 Coder 32B Instruct | Qwen3 32B |
|---|---|---|
| MMLU-Pro | 62.3 | 65.5 |
| GPQA Diamond | 41.8 | N/A |
| IFEval | 79.9 | N/A |
| MATH | 76.4 | N/A |
| LiveCodeBench | 31.4 | N/A |
Green = higher score (better). N/A = not yet available. ~ = inherited from a base model, not independently reported for that release itself.
GPUs that run only Qwen 2.5 Coder 32B Instruct(0)
Every GPU that runs Qwen 2.5 Coder 32B Instruct also runs Qwen3 32B.
GPUs that run only Qwen3 32B(4)
- Apple M5 Pro (24GB)24 GB
- Apple M4 Pro (24GB)24 GB
- Apple M3 (24GB)24 GB
- Apple M2 (24GB)24 GB
GPUs that run both natively(70)
- NVIDIA RTX 509032 GB
- NVIDIA RTX 409024 GB
- NVIDIA RTX 309024 GB
- NVIDIA RTX 3090 Ti24 GB
- NVIDIA B300 288GB288 GB
- NVIDIA B200 180GB180 GB
- NVIDIA H200 141GB141 GB
- NVIDIA H100 80GB80 GB
- NVIDIA A100 80GB80 GB
- NVIDIA A100 40GB40 GB
- NVIDIA L40S48 GB
- NVIDIA RTX A600048 GB
- +58 more GPUs run both
Which should you use?
Choose Qwen 2.5 Coder 32B Instruct if:
- • You have limited VRAM: it's a smaller model needing 24.6 GB vs 23.9 GB
- • You're running coding tasks
Choose Qwen3 32B if:
- • You want maximum capability and have a 24 GB+ GPU
- • Benchmark quality matters: scores 65.5 vs 62.3 on MMLU-Pro
- • You need chain-of-thought reasoning
- • It's the newer release (2025-04-29 vs 2024-11-12); check the benchmark table above for what actually improved
Frequently asked questions
- Which is better, Qwen 2.5 Coder 32B Instruct or Qwen3 32B?
- Qwen 2.5 Coder 32B Instruct has 32.5B parameters vs 32.8B for Qwen3 32B, so Qwen3 32B is the larger model. Qwen3 32B is more hardware-efficient, needing 23.9 GB at its Q4_K_M build vs 24.6 GB for Qwen 2.5 Coder 32B Instruct's Q4_K_M. Qwen3 32B runs on more GPUs natively (74 vs 70). On MMLU-Pro, Qwen3 32B scores higher (65.5 vs 62.3).
- How much VRAM does Qwen 2.5 Coder 32B Instruct need vs Qwen3 32B?
- At 8k context, Qwen 2.5 Coder 32B Instruct needs approximately 24.6 GB of VRAM at its Q4_K_M build, while Qwen3 32B needs 23.9 GB at its Q4_K_M build. At the largest build each ships, Qwen 2.5 Coder 32B Instruct requires 75.2 GB (FP16) vs 75.0 GB (FP16) for Qwen3 32B.
- Can you run Qwen 2.5 Coder 32B Instruct on the same GPUs as Qwen3 32B?
- Yes, 70 GPUs can run both natively in VRAM, including NVIDIA RTX 5090, NVIDIA RTX 4090, NVIDIA RTX 3090. However, no GPU can run Qwen 2.5 Coder 32B Instruct without also fitting Qwen3 32B, and 4 GPUs can run Qwen3 32B but not Qwen 2.5 Coder 32B Instruct.
- What is the difference between Qwen 2.5 Coder 32B Instruct and Qwen3 32B?
- Qwen 2.5 Coder 32B Instruct has 32.5B parameters (dense) with a 128k context window. Qwen3 32B has 32.8B parameters (dense) with a 128k context window.
- Which model fits in 24 GB of VRAM, Qwen 2.5 Coder 32B Instruct or Qwen3 32B?
- Neither fits in 24 GB: Qwen 2.5 Coder 32B Instruct needs 24.6 GB at Q4_K_M and Qwen3 32B needs 23.9 GB at Q4_K_M. Both require at least a 32 GB GPU.