Qwen 3.5 35B-A3B (MoE) vs Qwen3 30B-A3B (MoE)
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
Qwen3 30B-A3B (MoE) is more hardware-efficient: it needs 21.4 GB at its Q4_K_M build vs 24.1 GB for Qwen 3.5 35B-A3B (MoE)'s Q4_K_M, fitting on 84 GPUs natively.
VRAM at each quantization (8k context)
FP32
Qwen 3.5 35B-A3B (MoE)
157.0 GB
Qwen3 30B-A3B (MoE)
135.3 GB
BF16
Qwen 3.5 35B-A3B (MoE)
78.6 GB
Qwen3 30B-A3B (MoE)
68.1 GB
FP16
Qwen 3.5 35B-A3B (MoE)
78.6 GB
Qwen3 30B-A3B (MoE)
68.1 GB
Q8_0
Qwen 3.5 35B-A3B (MoE)
41.9 GB
Qwen3 30B-A3B (MoE)
36.6 GB
Q6_K
Qwen 3.5 35B-A3B (MoE)
32.4 GB
Qwen3 30B-A3B (MoE)
28.5 GB
Q5_K_M
Qwen 3.5 35B-A3B (MoE)
28.1 GB
Qwen3 30B-A3B (MoE)
24.8 GB
Q4_K_M
Qwen 3.5 35B-A3B (MoE)
24.1 GB
Qwen3 30B-A3B (MoE)
21.4 GB
Q3_K_M
Qwen 3.5 35B-A3B (MoE)
19.0 GB
Qwen3 30B-A3B (MoE)
17.1 GB
Q2_K
Qwen 3.5 35B-A3B (MoE)
15.1 GB
Qwen3 30B-A3B (MoE)
13.7 GB
NVFP4
Qwen 3.5 35B-A3B (MoE)
19.8 GB
Qwen3 30B-A3B (MoE)
17.7 GB
| Quant | Qwen 3.5 35B-A3B (MoE) | Qwen3 30B-A3B (MoE) | Diff |
|---|---|---|---|
| FP32 | 157.0 GB | 135.3 GB | +16% |
| BF16 | 78.6 GB | 68.1 GB | +15% |
| FP16 | 78.6 GB | 68.1 GB | +15% |
| Q8_0 | 41.9 GB | 36.6 GB | +14% |
| Q6_K | 32.4 GB | 28.5 GB | +14% |
| Q5_K_M | 28.1 GB | 24.8 GB | +13% |
| Q4_K_M | 24.1 GB | 21.4 GB | +13% |
| Q3_K_M | 19.0 GB | 17.1 GB | +12% |
| Q2_K | 15.1 GB | 13.7 GB | +10% |
| NVFP4 | 19.8 GB | 17.7 GB | +12% |
Diff is Qwen 3.5 35B-A3B (MoE) relative to Qwen3 30B-A3B (MoE). Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | Qwen 3.5 35B-A3B (MoE) | Qwen3 30B-A3B (MoE) |
|---|---|---|
| Org | Alibaba | Alibaba |
| Parameters | 35B | 30B |
| Architecture | MoE (3B active) | MoE (3B active) |
| Context | 256k tokens | 128k tokens |
| Modalities | text, vision, video | text |
| License | Apache 2.0 | Apache 2.0 |
| Commercial | Yes | Yes |
| Released | 2026-02-24 | 2025-04-29 |
| GPUs (native) | 84 / 119 | 84 / 119 |
Benchmark scores
| Benchmark | Qwen 3.5 35B-A3B (MoE) | Qwen3 30B-A3B (MoE) |
|---|---|---|
| MMLU-Pro | 85.3 | 61.5 |
| GPQA Diamond | 84.2 | N/A |
| SWE-bench Verified | 69.2 | 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 3.5 35B-A3B (MoE)(0)
Every GPU that runs Qwen 3.5 35B-A3B (MoE) also runs Qwen3 30B-A3B (MoE).
GPUs that run only Qwen3 30B-A3B (MoE)(0)
Every GPU that runs Qwen3 30B-A3B (MoE) also runs Qwen 3.5 35B-A3B (MoE).
GPUs that run both natively(84)
- NVIDIA RTX 509032 GB
- NVIDIA RTX 508016 GB
- NVIDIA RTX 5070 Ti16 GB
- NVIDIA RTX 5060 Ti 16GB16 GB
- NVIDIA RTX 409024 GB
- NVIDIA RTX 408016 GB
- NVIDIA RTX 4070 Ti SUPER16 GB
- NVIDIA RTX 4060 Ti 16GB16 GB
- NVIDIA RTX 309024 GB
- NVIDIA RTX 3090 Ti24 GB
- NVIDIA B300 288GB288 GB
- NVIDIA B200 180GB180 GB
- +72 more GPUs run both
Which should you use?
Choose Qwen 3.5 35B-A3B (MoE) if:
- • You want maximum capability and have a 25 GB+ GPU
- • Long context matters: it supports 256k tokens vs 128k
- • Benchmark quality matters: scores 85.3 vs 61.5 on MMLU-Pro
- • You need vision/image understanding
- • It's the newer release (2026-02-24 vs 2025-04-29); check the benchmark table above for what actually improved
Choose Qwen3 30B-A3B (MoE) if:
- • You have limited VRAM: it's a smaller model needing 21.4 GB vs 24.1 GB
Frequently asked questions
- Which is better, Qwen 3.5 35B-A3B (MoE) or Qwen3 30B-A3B (MoE)?
- Qwen 3.5 35B-A3B (MoE) has 35B parameters vs 30B for Qwen3 30B-A3B (MoE), so Qwen 3.5 35B-A3B (MoE) is the larger model. Qwen3 30B-A3B (MoE) is more hardware-efficient, needing 21.4 GB at its Q4_K_M build vs 24.1 GB for Qwen 3.5 35B-A3B (MoE)'s Q4_K_M. On MMLU-Pro, Qwen 3.5 35B-A3B (MoE) scores higher (85.3 vs 61.5).
- How much VRAM does Qwen 3.5 35B-A3B (MoE) need vs Qwen3 30B-A3B (MoE)?
- At 8k context, Qwen 3.5 35B-A3B (MoE) needs approximately 24.1 GB of VRAM at its Q4_K_M build, while Qwen3 30B-A3B (MoE) needs 21.4 GB at its Q4_K_M build. At the largest build each ships, Qwen 3.5 35B-A3B (MoE) requires 78.6 GB (FP16) vs 68.1 GB (FP16) for Qwen3 30B-A3B (MoE).
- Can you run Qwen 3.5 35B-A3B (MoE) on the same GPUs as Qwen3 30B-A3B (MoE)?
- Yes, 84 GPUs can run both natively in VRAM, including NVIDIA RTX 5090, NVIDIA RTX 5080, NVIDIA RTX 5070 Ti. However, no GPU can run Qwen 3.5 35B-A3B (MoE) without also fitting Qwen3 30B-A3B (MoE), and no GPU can run Qwen3 30B-A3B (MoE) without also fitting Qwen 3.5 35B-A3B (MoE).
- What is the difference between Qwen 3.5 35B-A3B (MoE) and Qwen3 30B-A3B (MoE)?
- Qwen 3.5 35B-A3B (MoE) has 35B parameters (3B active, MoE) with a 256k context window. Qwen3 30B-A3B (MoE) has 30B parameters (3B active, MoE) with a 128k context window.
- Which model fits in 24 GB of VRAM, Qwen 3.5 35B-A3B (MoE) or Qwen3 30B-A3B (MoE)?
- Only Qwen3 30B-A3B (MoE) fits in 24 GB, at its Q4_K_M build (21.4 GB). Qwen 3.5 35B-A3B (MoE) needs 24.1 GB at Q4_K_M, requiring a larger GPU.