Qwen 2.5 VL 7B vs Qwen 3 VL 30B-A3B

The two models at a glance

About Qwen 2.5 VL 7B

A 7B vision-language model from Alibaba with state-of-the-art results in its class, scoring 95.7 on DocVQA. Handles hour-long video, bounding-box grounding, and multilingual OCR. Strengths: State-of-the-art vision performance at the 7B tier, Excellent multilingual OCR, Long video input (over 1 hour), Apache 2.0.

About Qwen 3 VL 30B-A3B

Qwen 3 VL's sweet spot: a 30B MoE with 3B active parameters and 256k context. Delivers most of the 235B's quality at a fraction of the hardware cost. Strengths: Around 19 GB VRAM at Q4 — fits a single 24 GB card, Native 262k multimodal context, Efficient MoE with only 3B active parameters, Apache 2.0.

How they compare

Qwen 2.5 VL 7B comes from Alibaba and Qwen 3 VL 30B-A3B from Alibaba. This comparison is built entirely from structured specs — parameter count, VRAM by quantization, context window, license, and published benchmark scores — so the verdict below reflects measurable differences rather than marketing claims.

At 7B vs 30B parameters, Qwen 3 VL 30B-A3B is the larger of the two. At Q4, Qwen 2.5 VL 7B fits in about 6 GB of VRAM versus 19 GB for the other — a 13 GB difference that matters on consumer GPUs.

The two models target different sweet spots: Qwen 2.5 VL 7B is tuned for vision, chat, general, while Qwen 3 VL 30B-A3B leans toward vision, chat, general, moe, multilingual. Match the model to your dominant workload rather than to raw size.

On a typical mid-range GPU, Qwen 3 VL 30B-A3B pushes roughly 40 tokens/sec versus 25, so it is the more responsive choice for interactive or high-volume use. For long-context work, Qwen 3 VL 30B-A3B offers the bigger window (256k vs 125k tokens).

Memory, quantization & throughput

Across quantization levels, Qwen 2.5 VL 7B requires Q4 ≈ 6 GB, Q5 ≈ 7 GB, Q8 ≈ 10 GB, FP16 ≈ 18 GB, while Qwen 3 VL 30B-A3B requires Q4 ≈ 19 GB, Q5 ≈ 23 GB, Q8 ≈ 35 GB, FP16 ≈ 62 GB. In practice Qwen 2.5 VL 7B fits an 8 GB card at Q4, so plan your GPU around the Q4 or Q5 figure unless you specifically need the higher fidelity of Q8 or FP16.

Without a GPU, Qwen 2.5 VL 7B needs roughly 10 GB of system RAM to run on CPU and Qwen 3 VL 30B-A3B about 32 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 25 tokens/sec from Qwen 2.5 VL 7B and 40 from Qwen 3 VL 30B-A3B, scaling up to 60 and 100 tokens/sec on high-end hardware.

Which fits your GPU

Here is the highest-quality quantization of each model that fits common GPU memory budgets, so you can match Qwen 2.5 VL 7B or Qwen 3 VL 30B-A3B to the card you actually own:

• On a 8 GB GPU: Qwen 2.5 VL 7B runs at Q5 (7 GB); Qwen 3 VL 30B-A3B does not fit.
• On a 12 GB GPU: Qwen 2.5 VL 7B runs at Q8 (10 GB); Qwen 3 VL 30B-A3B does not fit.
• On a 16 GB GPU: Qwen 2.5 VL 7B runs at Q8 (10 GB); Qwen 3 VL 30B-A3B does not fit.
• On a 24 GB GPU: Qwen 2.5 VL 7B runs at FP16 (18 GB); Qwen 3 VL 30B-A3B runs at Q5 (23 GB).

Benchmark scores

Reported benchmarks for Qwen 2.5 VL 7B: DocVQA 95.7, ChartQA 87.3, OCRBench 86.4.

Bottom line: which should you pick?

• Pick Qwen 3 VL 30B-A3B for long-context work (up to 256k tokens).
• Pick Qwen 2.5 VL 7B for lower VRAM and faster inference; pick Qwen 3 VL 30B-A3B for maximum headline quality.
• Pick Qwen 3 VL 30B-A3B if your workload is moe, multilingual.

Which GPU should you buy to run Qwen 3 VL 30B-A3B?

To run Qwen 3 VL 30B-A3B locally at Q4, you need ~19 GB of VRAM. The best value for this is a RTX 4090 (24 GB VRAM).

Frequently asked questions

What is the difference between Qwen 2.5 VL 7B and Qwen 3 VL 30B-A3B?

The headline differences: Qwen 2.5 VL 7B is a 7B model and Qwen 3 VL 30B-A3B is 30B; their context windows differ (125k vs 256k tokens). Below we break down VRAM by quantization, benchmark scores, and a use-case verdict so you can pick the right one.

Can Qwen 2.5 VL 7B and Qwen 3 VL 30B-A3B run on a 24 GB GPU?

At a Q4 quantization, Qwen 2.5 VL 7B needs about 6 GB of VRAM and fits comfortably on a 24 GB GPU; Qwen 3 VL 30B-A3B needs about 19 GB and fits comfortably on a 24 GB GPU. Qwen 2.5 VL 7B is the lighter option for tight VRAM budgets.

Which is faster, Qwen 2.5 VL 7B or Qwen 3 VL 30B-A3B?

Qwen 2.5 VL 7B is the smaller model (7B vs 30B), so on the same hardware it runs faster and uses less memory. The larger model trades speed for headline quality.

What licenses do Qwen 2.5 VL 7B and Qwen 3 VL 30B-A3B use?

Qwen 2.5 VL 7B is licensed under Apache 2.0 and Qwen 3 VL 30B-A3B under Apache 2.0.

Which has the longer context window, Qwen 2.5 VL 7B or Qwen 3 VL 30B-A3B?

Qwen 3 VL 30B-A3B has the larger context window (256k vs 125k tokens), so it handles longer documents and codebases in a single prompt.