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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 22.2 GB at Q4_K_M vs 22.9 GB for Qwen 2.5 Coder 32B Instruct, fitting on 76 GPUs natively.

VRAM at each quantization (8k context)

QuantQwen 2.5 Coder 32B InstructQwen3 32BDiff
FP32148.0 GB148.4 GB-0%
BF1675.2 GB75.0 GB+0%
FP1675.2 GB75.0 GB+0%
Q8_038.8 GB38.2 GB+1%
Q6_K32.3 GB31.6 GB+2%
Q5_K_M25.8 GB25.2 GB+3%
Q4_K_M22.9 GB22.2 GB+3%
Q3_K_M18.1 GB17.3 GB+4%
Q2_K14.4 GB13.6 GB+6%
NVFP420.6 GB19.9 GB+4%

Diff is Qwen 2.5 Coder 32B Instruct relative to Qwen3 32B. Green = lower VRAM (fits more GPUs).

Model specifications

SpecQwen 2.5 Coder 32B InstructQwen3 32B
OrgAlibabaAlibaba
Parameters32.5B32.8B
ArchitectureDenseDense
Context125k tokens128k tokens
Modalitiestexttext
LicenseApache 2.0Apache 2.0
CommercialYesYes
Released2024-11-122025-04-29
GPUs (native)75 / 10776 / 107

Benchmark scores

BenchmarkQwen 2.5 Coder 32B InstructQwen3 32B
MMLU-Pro50.465.5
MATH62.0—

Green = higher score (better). — = not yet available.

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(1)

GPUs that run both natively(75)

Which should you use?

Choose Qwen 2.5 Coder 32B Instruct if:
  • • You have limited VRAM — it's a smaller model needing 22.9 GB vs 22.2 GB
  • • You're running coding tasks
Choose Qwen3 32B if:
  • • You want maximum capability and have a 23 GB+ GPU
  • • Long context matters — it supports 128k tokens vs 125k
  • • Benchmark quality matters — scores 65.5 vs 50.4 on MMLU-Pro
  • • You need chain-of-thought reasoning

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 22.2 GB at Q4_K_M vs 22.9 GB. Qwen3 32B runs on more GPUs natively (76 vs 75). On MMLU-Pro, Qwen3 32B scores higher (65.5 vs 50.4).
How much VRAM does Qwen 2.5 Coder 32B Instruct need vs Qwen3 32B?
At Q4_K_M quantization with 8k context, Qwen 2.5 Coder 32B Instruct needs approximately 22.9 GB of VRAM, while Qwen3 32B needs 22.2 GB. At FP16, Qwen 2.5 Coder 32B Instruct requires 75.2 GB vs 75.0 GB for Qwen3 32B.
Can you run Qwen 2.5 Coder 32B Instruct on the same GPUs as Qwen3 32B?
Yes, 75 GPUs can run both natively in VRAM, including NVIDIA RTX 5090, NVIDIA RTX 5080, NVIDIA RTX 5070 Ti. However, no GPU can run Qwen 2.5 Coder 32B Instruct without also fitting Qwen3 32B, and 1 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 125k 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?
Both fit in 24 GB of VRAM at Q4_K_M — Qwen 2.5 Coder 32B Instruct needs 22.9 GB and Qwen3 32B needs 22.2 GB.
Full Qwen 2.5 Coder 32B Instruct page →Full Qwen3 32B page →Check your hardware →