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Qwen 2.5 VL 7B vs Qwen 2 VL 7B

Side-by-side specs, benchmarks, and a verdict by use case.

Updated 2026-07-13

Spec Qwen 2.5 VL 7B Qwen 2 VL 7B
Parameters7B7B
AuthorAlibabaAlibaba
LicenseApache 2.0Apache 2.0
Context window0k0k
VRAM at Q46 GB6 GB
VRAM at Q57 GB7 GB
VRAM at Q810 GB10 GB
VRAM at FP1618 GB18 GB
Use casesvision, chat, generalvision, chat

Verdict

Both models sit in a similar size class. The pick depends on tags, license, and benchmarks rather than raw parameter count.

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 2 VL 7B

Alibaba's Qwen 2 VL 7B — a top-tier open-weight vision model with dynamic resolution, multilingual OCR, and short video understanding. Strengths: Dynamic resolution from 20px up to 16K, Best-in-class OCR and document handling at 7B, Apache 2.0 license, Short video input support.

How they compare

Qwen 2.5 VL 7B comes from Alibaba and Qwen 2 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.

Qwen 2.5 VL 7B and Qwen 2 VL 7B share the same 7B parameter class. Both need about 6 GB of VRAM at a Q4 quantization, so they fit the same GPU tier.

Where they overlap on benchmarks, Qwen 2 VL 7B takes OCRBench with 845 against 86.4 — a decisive 758.6-point margin. On DocVQA the edge goes to Qwen 2.5 VL 7B (95.7 vs 94.5). For workloads weighted toward that benchmark, Qwen 2 VL 7B is the stronger default.

For long-context work, Qwen 2.5 VL 7B offers the bigger window (125k vs 32k 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 2 VL 7B requires Q4 ≈ 6 GB, Q5 ≈ 7 GB, Q8 ≈ 10 GB, FP16 ≈ 18 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 2 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 25 tokens/sec from Qwen 2.5 VL 7B and 25 from Qwen 2 VL 7B, scaling up to 60 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 7B or Qwen 2 VL 7B to the card you actually own:

  • On a 8 GB GPU: Qwen 2.5 VL 7B runs at Q5 (7 GB); Qwen 2 VL 7B runs at Q5 (7 GB).
  • On a 12 GB GPU: Qwen 2.5 VL 7B runs at Q8 (10 GB); Qwen 2 VL 7B runs at Q8 (10 GB).
  • On a 16 GB GPU: Qwen 2.5 VL 7B runs at Q8 (10 GB); Qwen 2 VL 7B runs at Q8 (10 GB).
  • On a 24 GB GPU: Qwen 2.5 VL 7B runs at FP16 (18 GB); Qwen 2 VL 7B runs at FP16 (18 GB).

Benchmark scores

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

Reported benchmarks for Qwen 2 VL 7B: MMMU 54.1, DocVQA 94.5, OCRBench 845.

Bottom line: which should you pick?

  • Pick Qwen 2.5 VL 7B for long-context work (up to 125k tokens).
  • Pick Qwen 2 VL 7B if OCRBench performance is your priority (845 vs 86.4).
  • Pick Qwen 2.5 VL 7B if your workload is general.

Which GPU should you buy to run Qwen 2.5 VL 7B?

To run Qwen 2.5 VL 7B locally at Q4, you need ~6 GB of VRAM. The best value for this is a RTX 5060 (8 GB VRAM).

Check RTX 5060 price on Amazon →

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Frequently asked questions

What is the difference between Qwen 2.5 VL 7B and Qwen 2 VL 7B?

The headline differences: both are 7B models; their context windows differ (125k vs 32k 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 2 VL 7B 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 2 VL 7B needs about 6 GB and fits comfortably on a 24 GB GPU. Both have the same Q4 footprint.

Is Qwen 2.5 VL 7B or Qwen 2 VL 7B more capable?

On OCRBench, Qwen 2 VL 7B scores higher (845 vs 86.4), a 758.6-point advantage on this benchmark.

What licenses do Qwen 2.5 VL 7B and Qwen 2 VL 7B use?

Qwen 2.5 VL 7B is licensed under Apache 2.0 and Qwen 2 VL 7B under Apache 2.0.

Which has the longer context window, Qwen 2.5 VL 7B or Qwen 2 VL 7B?

Qwen 2.5 VL 7B has the larger context window (125k vs 32k tokens), so it handles longer documents and codebases in a single prompt.

View full Qwen 2.5 VL 7B fiche → View full Qwen 2 VL 7B fiche → Compute cost ROI