Compare the listed model data for Qwen2.5 VL 7B by Qwen 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
Qwen2.5 VL 7B: 128K tokens; Qwen2 VL 7B Instruct: 128K tokens. The listed context-window values are equal. Qwen2.5 VL 7B is listed for vision, multimodal input; Qwen2 VL 7B Instruct is listed for vision, multimodal input. Shared catalog benchmark entries: DocVQA: Qwen2.5 VL 7B 95.7%; Qwen2 VL 7B Instruct 94.5%; TextVQA: Qwen2.5 VL 7B 84.9%; Qwen2 VL 7B Instruct 84.3%; OCRBench: Qwen2.5 VL 7B 85.0%; Qwen2 VL 7B Instruct 84.5%. 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.
The first listed parameter quantities are 7B and 7B; the larger quantity is 1× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are September 2024 and September 2024, about 0 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 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.
Catalog specifications for Qwen2.5 VL 7B and Qwen2 VL 7B Instruct
Specification
Qwen2.5 VL 7B
Qwen2 VL 7B Instruct
Provider
Qwen
Qwen
Parameters
7B
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
Separate numeric input/output rates not listed
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
95.7%
94.5%
Benchmark: TextVQA
84.9%
84.3%
Benchmark: OCRBench
85.0%
84.5%
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 Qwen2.5 VL 7B and Qwen2 VL 7B Instruct?
Qwen2.5 VL 7B: 128K tokens; Qwen2 VL 7B Instruct: 128K tokens. The listed context-window values are equal. Qwen2.5 VL 7B is listed for vision, multimodal input; Qwen2 VL 7B Instruct is listed for vision, multimodal input. Shared catalog benchmark entries: DocVQA: Qwen2.5 VL 7B 95.7%; Qwen2 VL 7B Instruct 94.5%; TextVQA: Qwen2.5 VL 7B 84.9%; Qwen2 VL 7B Instruct 84.3%; OCRBench: Qwen2.5 VL 7B 85.0%; Qwen2 VL 7B Instruct 84.5%. 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 Qwen2.5 VL 7B and Qwen2 VL 7B Instruct?
DocVQA: Qwen2.5 VL 7B 95.7%; Qwen2 VL 7B Instruct 94.5%; TextVQA: Qwen2.5 VL 7B 84.9%; Qwen2 VL 7B Instruct 84.3%; OCRBench: Qwen2.5 VL 7B 85.0%; Qwen2 VL 7B Instruct 84.5%. 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?
Qwen2.5 VL 7B: 128K tokens; Qwen2 VL 7B Instruct: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen2.5 VL 7B and Qwen2 VL 7B Instruct?
Qwen2.5 VL 7B: input $0.1, output $0.3 per 1M tokens (Apache 2.0 — 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 Qwen2.5 VL 7B and Qwen2 VL 7B Instruct?
The catalog lists Qwen2.5 VL 7B as September 2024 and Qwen2 VL 7B Instruct as September 2024, about 0 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 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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