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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

Gemma 3 27B Instruct is more hardware-efficient — it needs 18.8 GB at Q4_K_M vs 18.8 GB for Qwen 3.6 27B, fitting on 85 GPUs natively.

VRAM at each quantization (8k context)

QuantQwen 3.6 27BGemma 3 27B InstructDiff
FP32122.8 GB122.7 GB+0%
BF1662.3 GB62.2 GB+0%
FP1662.3 GB62.2 GB+0%
Q8_032.0 GB32.0 GB+0%
Q6_K26.6 GB26.5 GB+0%
Q5_K_M21.3 GB21.2 GB+0%
Q4_K_M18.8 GB18.8 GB+0%
Q3_K_M14.8 GB14.7 GB+1%
Q2_K11.8 GB11.7 GB+1%
NVFP416.9 GB16.8 GB+0%

Diff is Qwen 3.6 27B relative to Gemma 3 27B Instruct. Green = lower VRAM (fits more GPUs).

Model specifications

SpecQwen 3.6 27BGemma 3 27B Instruct
OrgAlibabaGoogle
Parameters27B27B
ArchitectureDenseDense
Context256k tokens128k tokens
Modalitiestext, visiontext, vision
LicenseApache 2.0Gemma
CommercialYesYes
Released2026-04-012025-03-12
GPUs (native)85 / 10785 / 107

Benchmark scores

BenchmarkQwen 3.6 27BGemma 3 27B Instruct
MMLU-Pro86.267.5

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

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(85)

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 need chain-of-thought reasoning
Choose Gemma 3 27B Instruct if:

    Frequently asked questions

    Which is better, Qwen 3.6 27B or Gemma 3 27B Instruct?
    Gemma 3 27B Instruct is more hardware-efficient, needing 18.8 GB at Q4_K_M vs 18.8 GB. 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 Q4_K_M quantization with 8k context, Qwen 3.6 27B needs approximately 18.8 GB of VRAM, while Gemma 3 27B Instruct needs 18.8 GB. At FP16, Qwen 3.6 27B requires 62.3 GB vs 62.2 GB for Gemma 3 27B Instruct.
    Can you run Qwen 3.6 27B on the same GPUs as Gemma 3 27B Instruct?
    Yes, 85 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 Q4_K_M — Qwen 3.6 27B needs 18.8 GB and Gemma 3 27B Instruct needs 18.8 GB.
    Full Qwen 3.6 27B page →Full Gemma 3 27B Instruct page →Check your hardware →