Qwen 2.5 VL 72B vs Qwen 2.5 VL 7B
Side-by-side specs, benchmarks, and a verdict by use case.
Updated 2026-07-13
| Spec | Qwen 2.5 VL 72B | Qwen 2.5 VL 7B |
|---|---|---|
| Parameters | 72B | 7B |
| Author | Alibaba | Alibaba |
| License | Qwen License | Apache 2.0 |
| Context window | 0k | 0k |
| VRAM at Q4 | 42 GB | 6 GB |
| VRAM at Q5 | 50 GB | 7 GB |
| VRAM at Q8 | 78 GB | 10 GB |
| VRAM at FP16 | 144 GB | 18 GB |
| Use cases | vision, chat, general | vision, chat, general |
Verdict
Qwen 2.5 VL 72B is significantly larger (72B vs 7B), so expect higher quality but heavier VRAM and slower throughput.
For unambiguous commercial use, Qwen 2.5 VL 7B has the safer license (Apache 2.0) compared to Qwen License.
The two models at a glance
About Qwen 2.5 VL 72B
Frontier-class open vision-language model from Alibaba, scoring 70.2 on MMMU and 88.6 on MMBench. Uses the Qwen License rather than Apache, with a 100M MAU clause. Strengths: Frontier vision benchmarks (MMMU 70.2), 128K context window, Strong OCR and grounding capabilities.
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.
How they compare
Qwen 2.5 VL 72B comes from Alibaba and Qwen 2.5 VL 7B 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 72B vs 7B parameters, Qwen 2.5 VL 72B is the larger of the two. At Q4, Qwen 2.5 VL 7B fits in about 6 GB of VRAM versus 42 GB for the other — a 36 GB difference that matters on consumer GPUs.
The two models target different sweet spots: Qwen 2.5 VL 72B is tuned for vision, chat, general, while Qwen 2.5 VL 7B leans toward vision, chat, general. Match the model to your dominant workload rather than to raw size.
On a typical mid-range GPU, Qwen 2.5 VL 7B pushes roughly 25 tokens/sec versus 6, so it is the more responsive choice for interactive or high-volume use.
Memory, quantization & throughput
Across quantization levels, Qwen 2.5 VL 72B requires Q4 ≈ 42 GB, Q5 ≈ 50 GB, Q8 ≈ 78 GB, FP16 ≈ 144 GB, while Qwen 2.5 VL 7B requires Q4 ≈ 6 GB, Q5 ≈ 7 GB, Q8 ≈ 10 GB, FP16 ≈ 18 GB. In practice Qwen 2.5 VL 72B spills past 24 GB even 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 72B needs roughly 64 GB of system RAM to run on CPU and Qwen 2.5 VL 7B about 10 GB — workable for offline use but far slower than GPU inference. On a mid-range GPU you can expect on the order of 6 tokens/sec from Qwen 2.5 VL 72B and 25 from Qwen 2.5 VL 7B, scaling up to 20 and 60 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 72B or Qwen 2.5 VL 7B to the card you actually own:
- On a 8 GB GPU: Qwen 2.5 VL 72B does not fit; Qwen 2.5 VL 7B runs at Q5 (7 GB).
- On a 12 GB GPU: Qwen 2.5 VL 72B does not fit; Qwen 2.5 VL 7B runs at Q8 (10 GB).
- On a 16 GB GPU: Qwen 2.5 VL 72B does not fit; Qwen 2.5 VL 7B runs at Q8 (10 GB).
- On a 24 GB GPU: Qwen 2.5 VL 72B does not fit; Qwen 2.5 VL 7B runs at FP16 (18 GB).
Benchmark scores
Reported benchmarks for Qwen 2.5 VL 72B: MMMU 70.2, MathVista 74.8, MMBench-EN 88.6.
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 2.5 VL 7B if you need a permissive (Apache 2.0) license for commercial deployment.
- Pick Qwen 2.5 VL 7B for lower VRAM and faster inference; pick Qwen 2.5 VL 72B for maximum headline quality.
Which GPU should you buy to run Qwen 2.5 VL 72B?
To run Qwen 2.5 VL 72B locally at Q4, you need ~42 GB of VRAM. The best value for this is a Apple Mac Studio (64+ GB unified memory).
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Frequently asked questions
What is the difference between Qwen 2.5 VL 72B and Qwen 2.5 VL 7B?
The headline differences: Qwen 2.5 VL 72B is a 72B model and Qwen 2.5 VL 7B is 7B; they ship under different licenses (Qwen License vs Apache 2.0). 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 72B and Qwen 2.5 VL 7B run on a 24 GB GPU?
At a Q4 quantization, Qwen 2.5 VL 72B needs about 42 GB of VRAM and needs more than 24 GB (multi-GPU or heavier offload); Qwen 2.5 VL 7B needs about 6 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 72B or Qwen 2.5 VL 7B?
Qwen 2.5 VL 7B is the smaller model (7B vs 72B), so on the same hardware it runs faster and uses less memory. The larger model trades speed for headline quality.
Which license is safer for commercial use, Qwen 2.5 VL 72B or Qwen 2.5 VL 7B?
Qwen 2.5 VL 7B ships under Apache 2.0, a permissive license with no usage restrictions, whereas the other is under Qwen License — check its terms before commercial deployment.