Model Comparison

Gemma 3 27B vs Qwen2 VL 7B Instruct

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

Gemma 3 27B: 128K tokens; Qwen2 VL 7B Instruct: 128K tokens. The listed context-window values are equal. Gemma 3 27B is listed for coding, vision, multimodal input, long-context tasks; Qwen2 VL 7B Instruct is listed for vision, multimodal input. Shared catalog benchmark entries: DocVQA: Gemma 3 27B 85.6%; Qwen2 VL 7B Instruct 94.5%. 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: Gemma 3 27B − Qwen2 VL 7B Instruct = -8.9 percentage points (85.6% vs 94.5%).
  • The first listed parameter quantities are 27B and 7B; the larger quantity is 3.86× the smaller. Total and active MoE parameters are not directly equivalent.
  • The catalog release dates are March 2025 and September 2024, 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 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.

Choose Qwen2 VL 7B Instruct if…

Choose Qwen2 VL 7B Instruct when your task aligns with catalog-listed uses or strengths such as Document AI: invoices, receipts, forms, charts, OCR and text extraction from images, Multi-document visual reasoning, 94.5% DocVQA — exceptional document visual understanding at 7B scale.

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

Qwen2 VL 7B Instruct

Browse Qwen models

Alibaba's Qwen2-VL 7B — strong open vision-language model. Reads documents, charts, and UI screenshots with chat-style follow-up.

Parameters: 7B

Context: 128K tokens

Catalog pricing: Apache 2.0 — free

Qwen Vision · Multimodal Open Source

View Qwen2 VL 7B Instruct model profile

Feature Comparison — Gemma 3 27B vs Qwen2 VL 7B Instruct

Catalog specifications for Gemma 3 27B and Qwen2 VL 7B Instruct
Specification Gemma 3 27B Qwen2 VL 7B Instruct
Provider Google Qwen
Parameters 27B 7B
Context window 128K tokens 128K tokens
Maximum output Not listed Not listed
Catalog pricing Gemma Terms — free Apache 2.0 — free
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed Separate numeric input/output rates not listed
License Gemma Terms of Use Apache 2.0
Coding support Listed Not listed
Reasoning support Not listed Not listed
Vision input Listed Listed
Multimodal Listed Listed
Open weights Yes Yes
Benchmark: DocVQA 85.6% 94.5%

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 Gemma 3 27B and Qwen2 VL 7B Instruct?
Gemma 3 27B: 128K tokens; Qwen2 VL 7B Instruct: 128K tokens. The listed context-window values are equal. Gemma 3 27B is listed for coding, vision, multimodal input, long-context tasks; Qwen2 VL 7B Instruct is listed for vision, multimodal input. Shared catalog benchmark entries: DocVQA: Gemma 3 27B 85.6%; Qwen2 VL 7B Instruct 94.5%. 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 Gemma 3 27B and Qwen2 VL 7B Instruct?
DocVQA: Gemma 3 27B 85.6%; Qwen2 VL 7B Instruct 94.5%. 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?
Gemma 3 27B: 128K tokens; Qwen2 VL 7B Instruct: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Gemma 3 27B and Qwen2 VL 7B Instruct?
Gemma 3 27B: Separate numeric input/output rates not listed (Gemma Terms — free). Qwen2 VL 7B Instruct: Separate numeric input/output rates not listed (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 Gemma 3 27B and Qwen2 VL 7B Instruct?
The catalog lists Gemma 3 27B as March 2025 and Qwen2 VL 7B Instruct as September 2024, 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 Gemma 3 27B and Qwen2 VL 7B Instruct?
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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