Model Comparison

Qwen2.5 VL 7B vs Gemma 3 27B

Compare the listed model data for Qwen2.5 VL 7B by Qwen and Gemma 3 27B by Google. 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

Qwen2.5 VL 7B: 128K tokens; Gemma 3 27B: 128K tokens. The listed context-window values are equal. Qwen2.5 VL 7B is listed for vision, multimodal input; Gemma 3 27B is listed for coding, vision, multimodal input, long-context tasks. Shared catalog benchmark entries: DocVQA: Qwen2.5 VL 7B 95.7%; Gemma 3 27B 85.6%. 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: Qwen2.5 VL 7B − Gemma 3 27B = +10.1 percentage points (95.7% vs 85.6%).
  • The first listed parameter quantities are 7B and 27B; the larger quantity is 3.86× the smaller. Total and active MoE parameters are not directly equivalent.
  • The catalog release dates are September 2024 and March 2025, about 6 months apart at the precision supplied.

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

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.

Choose Gemma 3 27B if…

Choose Gemma 3 27B when your task aligns with catalog-listed uses or strengths such as Multimodal enterprise apps at deployable scale, Visual document analysis: receipts, invoices, charts, Multilingual applications, Google's open multimodal model at accessible 27B scale.

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

Gemma 3 27B

Browse Google models

Google's Gemma-3 27B — excellent coding assistant with strong reasoning, multilingual support, and 128k context.

Parameters: 27B

Context: 128K tokens

Catalog pricing: Gemma Terms — free

Google Coding · Vision · Multimodal · Long Context Open Source

View Gemma 3 27B model profile

Feature Comparison — Qwen2.5 VL 7B vs Gemma 3 27B

Catalog specifications for Qwen2.5 VL 7B and Gemma 3 27B
Specification Qwen2.5 VL 7B Gemma 3 27B
Provider Qwen Google
Parameters 7B 27B
Context window 128K tokens 128K tokens
Maximum output Not listed Not listed
Catalog pricing Apache 2.0 — free Gemma Terms — free
Listed input/output cost per 1M tokens input $0.1, output $0.3 per 1M tokens Separate numeric input/output rates not listed
License Apache 2.0 Gemma Terms of Use
Coding support Not listed Listed
Reasoning support Not listed Not listed
Vision input Listed Listed
Multimodal Listed Listed
Open weights Yes Yes
Benchmark: DocVQA 95.7% 85.6%

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 Qwen2.5 VL 7B and Gemma 3 27B?
Qwen2.5 VL 7B: 128K tokens; Gemma 3 27B: 128K tokens. The listed context-window values are equal. Qwen2.5 VL 7B is listed for vision, multimodal input; Gemma 3 27B is listed for coding, vision, multimodal input, long-context tasks. Shared catalog benchmark entries: DocVQA: Qwen2.5 VL 7B 95.7%; Gemma 3 27B 85.6%. 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 Qwen2.5 VL 7B and Gemma 3 27B?
DocVQA: Qwen2.5 VL 7B 95.7%; Gemma 3 27B 85.6%. 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?
Qwen2.5 VL 7B: 128K tokens; Gemma 3 27B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen2.5 VL 7B and Gemma 3 27B?
Qwen2.5 VL 7B: input $0.1, output $0.3 per 1M tokens (Apache 2.0 — free). Gemma 3 27B: Separate numeric input/output rates not listed (Gemma Terms — 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 Qwen2.5 VL 7B and Gemma 3 27B?
The catalog lists Qwen2.5 VL 7B as September 2024 and Gemma 3 27B as March 2025, about 6 months apart at the precision supplied.
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 Qwen2.5 VL 7B and Gemma 3 27B?
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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