Qwen3-VL VRAM: 2B vs 4B vs 8B vs 32B

Short answer: Qwen3-VL spans very different memory classes. The smallest complete official Q4 paths are 1.552GB for 2B, 2.951GB for 4B, 5.780GB for 8B and 20.535GB for 32B after adding the required Q8_0 vision projector. Practical starting tiers are 4GB–8GB for 2B, 6GB–12GB for 4B, 12GB–32GB for 8B and 32GB–96GB for 32B, depending on precision and workload.

Every official GGUF path has two parts: a language-model file and a separate multimodal projector. Add both before reserving KV cache, image/video state, runtime buffers, display use and concurrency. File size is not peak resident memory.

Qwen3-VL 2B vs 4B vs 8B vs 32B

Size	Complete official Q4 + Q8 projector	Complete official Q8 + Q8 projector	Official BF16 weights	Practical planning range
2B	1.552GB	2.279GB	4.255GB	4GB constrained; 6GB–8GB practical
4B	2.951GB	4.734GB	8.876GB	6GB Q4; 8GB Q8; 12GB BF16
8B	5.780GB	9.462GB	17.534GB	12GB Q4; 16GB Q8; 24GB–32GB BF16
32B	20.535GB	35.590GB	66.715GB	32GB Q4; 48GB–64GB Q8; 80GB–96GB BF16

Decimal file totals from official Qwen repositories. The Q4/Q8 columns use the official Q8_0 projector consistently; choosing the larger F16 projector increases each total.

Official file evidence

Size	Q4_K_M language file	Q8_0 language file	Q8_0 / F16 projector
2B	1.107GB	1.834GB	0.445GB / 0.819GB
4B	2.497GB	4.280GB	0.454GB / 0.836GB
8B	5.028GB	8.710GB	0.752GB / 1.159GB
32B	19.762GB	34.818GB	0.772GB / 1.197GB

The projector is not optional for image/video inference. These are artifacts, not measured runtime peaks or performance results.

Cache geometry changes with model size

The official configurations share eight KV heads, a 128-element head dimension and native 262,144-token architecture, but layer counts differ. With FP16/BF16 keys and values, one sequence uses 2 × layers × 8 × 128 × 2 bytes per allocated text token.

Size	Language layers	FP16/BF16 cache per token	8K payload	32K payload
2B	28	112KiB	0.875GiB	3.5GiB
4B	36	144KiB	1.125GiB	4.5GiB
8B	36	144KiB	1.125GiB	4.5GiB
32B	64	256KiB	2GiB	8GiB

Illustrative one-sequence payload arithmetic. Runtime implementation, cache quantization, batching and multimodal tokens can change observed use.

Which Qwen3-VL size should you choose?

Choose 2B when memory is the hard constraint and you can validate that its outputs meet your task.
Choose 4B for a compact step up that still has complete official Q4/Q8 paths below 5GB.
Choose 8B when 12GB–16GB hardware is available and you want more model capacity without entering workstation-class memory.
Choose 32B only when the task justifies a 20.535GB complete Q4 artifact before cache and runtime state.

Parameter count does not establish visual accuracy, speed or value. Compare the exact variants on representative images, documents and video rather than selecting from size alone.

Detailed Qwen3-VL guides

Use the Qwen3-VL 8B VRAM guide for 8GB–32GB planning and the Qwen3-VL 32B VRAM guide for 24GB–96GB planning. Compare the prior generation in the Qwen2.5-VL family guide or compare other architectures in the multimodal VRAM hub.

Validate a complete multimodal workload

Record exact repository, revision, size, Instruct/Thinking variant, language file, projector and checksums.
Record runtime/version and prove that the image or video path is active.
Record weight, projector and cache precision plus device placement and offload.
Fix image dimensions/count, sampled frames, text allocation, output target and concurrency.
Measure accelerator and system memory before load, after load, after vision encoding and at peak generation.
Capture preprocessing time, time to first token, throughput, fallback and errors.

Use the VRAM calculator, repeatable workload test and benchmark submission builder. For hardware tiers, compare 8GB–16GB, 24GB–48GB and 48GB–96GB.

Continue planning

Browse all guides and tools. Capacity fit never substitutes for task-specific output validation.

Exact compact guide: the Qwen3-VL 4B VRAM page maps official complete Q4, Q8 and BF16 paths to 4GB through 16GB hardware.

Exact smallest model: the Qwen3-VL 2B VRAM guide maps complete official Q4, Q8 and BF16 paths to 4GB, 6GB and 8GB hardware.

MoE branch: the Qwen3-VL 30B-A3B VRAM guide explains why A3B is not a 3B storage tier and maps complete official Q4/Q8 projector paths to 24GB through 80GB hardware.

Flagship MoE branch: the Qwen3-VL 235B-A22B VRAM guide explains why A22B is not a 22B storage tier and maps exact split-file totals.

MoE family: the Qwen3-VL 30B-A3B vs 235B-A22B guide covers the sparse branch from 24GB through 640GB.

Sources and limits

Reviewed October 25, 2026. Artifact sizes and architecture fields were read from official Qwen repositories. HighVRAM has not independently benchmarked every size, runtime, image/video workload, variant or quantization. File size is not peak resident memory.

Successor family example: the Qwen3.5-27B guide covers a newer natively multimodal hybrid-attention architecture; do not reuse Qwen3-VL cache formulas.