Qwen 3.6 27B vs Gemma 3 27B Instruct
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
Qwen 3.6 27B is more hardware-efficient: it needs 19.0 GB at its Q4_K_M build vs 20.1 GB for Gemma 3 27B Instruct's Q4_K_M, fitting on 84 GPUs natively.
VRAM at each quantization (8k context)
FP32
Qwen 3.6 27B
121.6 GB
Gemma 3 27B Instruct
122.7 GB
BF16
Qwen 3.6 27B
61.1 GB
Gemma 3 27B Instruct
62.2 GB
FP16
Qwen 3.6 27B
61.1 GB
Gemma 3 27B Instruct
62.2 GB
Q8_0
Qwen 3.6 27B
32.8 GB
Gemma 3 27B Instruct
33.9 GB
Q6_K
Qwen 3.6 27B
25.4 GB
Gemma 3 27B Instruct
26.6 GB
Q5_K_M
Qwen 3.6 27B
22.1 GB
Gemma 3 27B Instruct
23.3 GB
Q4_K_M
Qwen 3.6 27B
19.0 GB
Gemma 3 27B Instruct
20.1 GB
Q3_K_M
Qwen 3.6 27B
15.2 GB
Gemma 3 27B Instruct
16.3 GB
Q2_K
Qwen 3.6 27B
12.1 GB
Gemma 3 27B Instruct
13.3 GB
NVFP4
Qwen 3.6 27B
15.7 GB
Gemma 3 27B Instruct
16.9 GB
| Quant | Qwen 3.6 27B | Gemma 3 27B Instruct | Diff |
|---|---|---|---|
| FP32 | 121.6 GB | 122.7 GB | -1% |
| BF16 | 61.1 GB | 62.2 GB | -2% |
| FP16 | 61.1 GB | 62.2 GB | -2% |
| Q8_0 | 32.8 GB | 33.9 GB | -3% |
| Q6_K | 25.4 GB | 26.6 GB | -4% |
| Q5_K_M | 22.1 GB | 23.3 GB | -5% |
| Q4_K_M | 19.0 GB | 20.1 GB | -6% |
| Q3_K_M | 15.2 GB | 16.3 GB | -7% |
| Q2_K | 12.1 GB | 13.3 GB | -9% |
| NVFP4 | 15.7 GB | 16.9 GB | -7% |
Diff is Qwen 3.6 27B relative to Gemma 3 27B Instruct. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | Qwen 3.6 27B | Gemma 3 27B Instruct |
|---|---|---|
| Org | Alibaba | |
| Parameters | 27B | 27B |
| Architecture | Dense | Dense |
| Context | 256k tokens | 128k tokens |
| Modalities | text, vision, video | text, vision |
| License | Apache 2.0 | Gemma |
| Commercial | Yes | Yes |
| Released | 2026-04-22 | 2025-03-12 |
| GPUs (native) | 84 / 119 | 84 / 119 |
Benchmark scores
| Benchmark | Qwen 3.6 27B | Gemma 3 27B Instruct |
|---|---|---|
| MMLU-Pro | 86.2 | 67.5 |
| GPQA Diamond | 87.8 | N/A |
| LiveCodeBench | 83.9 | N/A |
| SWE-bench Verified | 77.2 | N/A |
| SWE-bench Pro | 53.5 | 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 3.6 27B(0)
Every GPU that runs Qwen 3.6 27B also runs Gemma 3 27B Instruct.
GPUs that run only Gemma 3 27B Instruct(0)
Every GPU that runs Gemma 3 27B Instruct also runs Qwen 3.6 27B.
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 3.6 27B if:
- • Long context matters: it supports 256k tokens vs 128k
- • Benchmark quality matters: scores 86.2 vs 67.5 on MMLU-Pro
- • You're running coding tasks
- • You need chain-of-thought reasoning
- • It's the newer release (2026-04-22 vs 2025-03-12); check the benchmark table above for what actually improved
Choose Gemma 3 27B Instruct if:
- No clear spec advantage over Qwen 3.6 27B, see the benchmark and VRAM tables above.
Frequently asked questions
- Which is better, Qwen 3.6 27B or Gemma 3 27B Instruct?
- Qwen 3.6 27B is more hardware-efficient, needing 19.0 GB at its Q4_K_M build vs 20.1 GB for Gemma 3 27B Instruct's Q4_K_M. On MMLU-Pro, Qwen 3.6 27B scores higher (86.2 vs 67.5).
- How much VRAM does Qwen 3.6 27B need vs Gemma 3 27B Instruct?
- At 8k context, Qwen 3.6 27B needs approximately 19.0 GB of VRAM at its Q4_K_M build, while Gemma 3 27B Instruct needs 20.1 GB at its Q4_K_M build. At the largest build each ships, Qwen 3.6 27B requires 61.1 GB (FP16) vs 62.2 GB (FP16) for Gemma 3 27B Instruct.
- Can you run Qwen 3.6 27B on the same GPUs as Gemma 3 27B Instruct?
- 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 3.6 27B without also fitting Gemma 3 27B Instruct, and no GPU can run Gemma 3 27B Instruct without also fitting Qwen 3.6 27B.
- What is the difference between Qwen 3.6 27B and Gemma 3 27B Instruct?
- Qwen 3.6 27B has 27B parameters (dense) with a 256k context window. Gemma 3 27B Instruct has 27B parameters (dense) with a 128k context window. Licensing differs: Qwen 3.6 27B is Apache 2.0 while Gemma 3 27B Instruct is Gemma.
- Which model fits in 24 GB of VRAM, Qwen 3.6 27B or Gemma 3 27B Instruct?
- Both fit in 24 GB of VRAM at their respective recommended builds: Qwen 3.6 27B (Q4_K_M) needs 19.0 GB and Gemma 3 27B Instruct (Q4_K_M) needs 20.1 GB.