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Command-R 35B 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 34.1 GB for Command-R 35B, fitting on 76 GPUs natively.

VRAM at each quantization (8k context)

QuantCommand-R 35BQwen3 32BDiff
FP32168.8 GB148.4 GB+14%
BF1690.4 GB75.0 GB+21%
FP1690.4 GB75.0 GB+21%
Q8_051.2 GB38.2 GB+34%
Q6_K44.2 GB31.6 GB+40%
Q5_K_M37.3 GB25.2 GB+48%
Q4_K_M34.1 GB22.2 GB+54%
Q3_K_M28.9 GB17.3 GB+67%
Q2_K24.9 GB13.6 GB+83%
NVFP431.6 GB19.9 GB+59%

Diff is Command-R 35B relative to Qwen3 32B. Green = lower VRAM (fits more GPUs).

Model specifications

SpecCommand-R 35BQwen3 32B
OrgCohereAlibaba
Parameters35B32.8B
ArchitectureDenseDense
Context125k tokens128k tokens
Modalitiestexttext
LicenseCC-BY-NC 4.0Apache 2.0
CommercialNoYes
Released2024-08-302025-04-29
GPUs (native)54 / 10776 / 107

Benchmark scores

BenchmarkCommand-R 35BQwen3 32B
MMLU-Pro33.065.5
IFEval68.0—
Arena ELO1150.0—

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

GPUs that run only Command-R 35B(0)

Every GPU that runs Command-R 35B also runs Qwen3 32B.

GPUs that run only Qwen3 32B(22)

GPUs that run both natively(54)

Which should you use?

Choose Command-R 35B if:
  • • You want maximum capability and have a 35 GB+ GPU
Choose Qwen3 32B if:
  • • You have limited VRAM — it's a smaller model needing 22.2 GB vs 34.1 GB
  • • Long context matters — it supports 128k tokens vs 125k
  • • You need commercial use rights
  • • Benchmark quality matters — scores 65.5 vs 33.0 on MMLU-Pro
  • • You need chain-of-thought reasoning

Frequently asked questions

Which is better, Command-R 35B or Qwen3 32B?
Command-R 35B has 35B parameters vs 32.8B for Qwen3 32B, so Command-R 35B is the larger model. Qwen3 32B is more hardware-efficient, needing 22.2 GB at Q4_K_M vs 34.1 GB. Qwen3 32B runs on more GPUs natively (76 vs 54). On MMLU-Pro, Qwen3 32B scores higher (65.5 vs 33.0).
How much VRAM does Command-R 35B need vs Qwen3 32B?
At Q4_K_M quantization with 8k context, Command-R 35B needs approximately 34.1 GB of VRAM, while Qwen3 32B needs 22.2 GB. At FP16, Command-R 35B requires 90.4 GB vs 75.0 GB for Qwen3 32B.
Can you run Command-R 35B on the same GPUs as Qwen3 32B?
Yes, 54 GPUs can run both natively in VRAM, including NVIDIA RTX 5090, NVIDIA H100 80GB, NVIDIA A100 80GB. However, no GPU can run Command-R 35B without also fitting Qwen3 32B, and 22 GPUs can run Qwen3 32B but not Command-R 35B.
What is the difference between Command-R 35B and Qwen3 32B?
Command-R 35B has 35B parameters (dense) with a 125k context window. Qwen3 32B has 32.8B parameters (dense) with a 128k context window. Licensing differs: Command-R 35B is CC-BY-NC 4.0 while Qwen3 32B is Apache 2.0.
Which model fits in 24 GB of VRAM, Command-R 35B or Qwen3 32B?
Only Qwen3 32B fits in 24 GB at Q4_K_M (22.2 GB). Command-R 35B needs 34.1 GB, requiring a larger GPU.
Full Command-R 35B page →Full Qwen3 32B page →Check your hardware →