Model Comparison

Qwen3 VL 8B vs Qwen2.5 VL 7B

Compare the listed model data for Qwen3 VL 8B by Qwen and Qwen2.5 VL 7B by Qwen. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

Qwen3 VL 8B: 128K tokens; Qwen2.5 VL 7B: 128K tokens. The listed context-window values are equal. Qwen3 VL 8B is listed for vision, multimodal input; Qwen2.5 VL 7B is listed for vision, multimodal input. Shared catalog benchmark entries: DocVQA: Qwen3 VL 8B 95.5%; Qwen2.5 VL 7B 95.7%; TextVQA: Qwen3 VL 8B 85.1%; Qwen2.5 VL 7B 84.9%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

Computed differences from catalog data

  • The listed context windows are 128K tokens and 128K tokens; the larger is 1× the smaller.
  • On shared numeric benchmark entries, DocVQA: Qwen3 VL 8B − Qwen2.5 VL 7B = -0.2 percentage points (95.5% vs 95.7%); TextVQA: Qwen3 VL 8B − Qwen2.5 VL 7B = +0.2 percentage points (85.1% vs 84.9%).
  • The first listed parameter quantities are 8B and 7B; the larger quantity is 1.14× the smaller. Total and active MoE parameters are not directly equivalent.
  • A release-date gap cannot be calculated from the catalog values (Qwen3 VL 8B: 2025; Qwen2.5 VL 7B: September 2024).

Cost example: 1M input and 1M output tokens

Using only the catalog's listed per-million-token rates, 1M input plus 1M output tokens costs about $0.4 for Qwen3 VL 8B and $0.4 for Qwen2.5 VL 7B. This excludes provider-specific discounts, caching, and other fees.

Choose Qwen3 VL 8B if…

Choose Qwen3 VL 8B when your task aligns with catalog-listed uses or strengths such as Document AI at deployable scale, Visual QA and chart understanding, Qwen3 generation visual understanding at 8B scale, Strong OCR and document analysis.

Choose Qwen2.5 VL 7B if…

Choose Qwen2.5 VL 7B when your task aligns with catalog-listed uses or strengths such as Document AI: invoices, receipts, charts, forms at 7B scale, OCR and text extraction from images, 95.7% DocVQA — best open VLM for document understanding at release, Dynamic resolution processing.

Qwen3 VL 8B

Browse Qwen models

Latest Qwen3 vision-language model — understands images, charts, diagrams, and screenshots. Great for UI analysis and image-to-code.

Parameters: 8B

Context: 128K tokens

Catalog pricing: Apache 2.0 — free

Qwen Vision · Multimodal Open Source

View Qwen3 VL 8B model profile

Qwen2.5 VL 7B

Browse Qwen models

Vision-language model — understands images, charts, documents, and screenshots. Great image-to-code and visual Q&A.

Parameters: 7B

Context: 128K tokens

Catalog pricing: Apache 2.0 — free

Qwen Vision · Multimodal Open Source

View Qwen2.5 VL 7B model profile

Feature Comparison — Qwen3 VL 8B vs Qwen2.5 VL 7B

Catalog specifications for Qwen3 VL 8B and Qwen2.5 VL 7B
Specification Qwen3 VL 8B Qwen2.5 VL 7B
Provider Qwen Qwen
Parameters 8B 7B
Context window 128K tokens 128K tokens
Maximum output Not listed Not listed
Catalog pricing Apache 2.0 — free Apache 2.0 — free
Listed input/output cost per 1M tokens input $0.1, output $0.3 per 1M tokens input $0.1, output $0.3 per 1M tokens
License Apache 2.0 Apache 2.0
Coding support Not listed Not listed
Reasoning support Not listed Not listed
Vision input Listed Listed
Multimodal Listed Listed
Open weights Yes Yes
Benchmark: DocVQA 95.5% 95.7%
Benchmark: TextVQA 85.1% 84.9%

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between Qwen3 VL 8B and Qwen2.5 VL 7B?
Qwen3 VL 8B: 128K tokens; Qwen2.5 VL 7B: 128K tokens. The listed context-window values are equal. Qwen3 VL 8B is listed for vision, multimodal input; Qwen2.5 VL 7B is listed for vision, multimodal input. Shared catalog benchmark entries: DocVQA: Qwen3 VL 8B 95.5%; Qwen2.5 VL 7B 95.7%; TextVQA: Qwen3 VL 8B 85.1%; Qwen2.5 VL 7B 84.9%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Qwen3 VL 8B and Qwen2.5 VL 7B?
DocVQA: Qwen3 VL 8B 95.5%; Qwen2.5 VL 7B 95.7%; TextVQA: Qwen3 VL 8B 85.1%; Qwen2.5 VL 7B 84.9%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Qwen3 VL 8B: 128K tokens; Qwen2.5 VL 7B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen3 VL 8B and Qwen2.5 VL 7B?
Qwen3 VL 8B: input $0.1, output $0.3 per 1M tokens (Apache 2.0 — free). Qwen2.5 VL 7B: input $0.1, output $0.3 per 1M tokens (Apache 2.0 — free). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Qwen3 VL 8B and Qwen2.5 VL 7B?
The catalog lists Qwen3 VL 8B as 2025 and Qwen2.5 VL 7B as September 2024; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Qwen3 VL 8B and Qwen2.5 VL 7B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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