Qwen2.5 VL 7B Instruct vs Qwen3 VL 235B A22B Thinking
Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 6.5.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 235B A22B Thinking leads the overall LLM Stats Score 26.7 to 6.5, ranking #151 overall.
In the 13 individual benchmarks reported for both models, Qwen3 VL 235B A22B Thinking wins 13; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen2.5 VL 7B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Choose Qwen3 VL 235B A22B Thinking
- overall performance matters — it scores 26.7 and ranks #151 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 13 of 13 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
32 reported for Qwen2.5 VL 7B Instruct · 67 for Qwen3 VL 235B A22B Thinking
Qwen2.5 VL 7B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 13 benchmarks (CC-OCR, CharadesSTA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MLVU, MMMU-Pro, MMStar, OCRBench, ScreenSpot, ScreenSpot Pro, VideoMME w/o sub.).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 227.7B more parameters than Qwen2.5 VL 7B Instruct, making it 2746.8% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both Qwen2.5 VL 7B Instruct and Qwen3 VL 235B A22B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen2.5 VL 7B Instruct
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen2.5 VL 7B Instruct was released on 2025-01-26, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
Qwen3 VL 235B A22B Thinking is 8 months newer than Qwen2.5 VL 7B Instruct.
Jan 26, 2025
1.7 years ago
Sep 22, 2025
1.0 years ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2.5 VL 7B Instruct and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 VL 7B Instruct vs Qwen3 VL 235B A22B Thinking.