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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 #147 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 #147 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.

Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
6.5
#291
26.7
#147
Reasoning
3.0
#302
26.9
#141
Agents
-3.1
#177
13.2
#93
Cost, coverage & limits
Benchmark wins
0 of 13
13 of 13
Input price
— / M
$0.45 / M
Output price
— / M
$3.49 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Qwen2.5 VL 7B Instruct
Qwen3 VL 235B A22B Thinking
Math
3.2#288
29.6#82
Vision
4.3#159
18.0#79
Long context
0.5#111
13.7#57
Multimodal
6.5#132
20.1#68
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Qwen2.5 VL 7B Instruct · 67 for Qwen3 VL 235B A22B Thinking

13 shared

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.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

227.7B diff

Qwen3 VL 235B A22B Thinking has 227.7B more parameters than Qwen2.5 VL 7B Instruct, making it 2746.8% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
8.3B
Qwen2.5 VL 7B Instruct
236.0B
Qwen3 VL 235B A22B Thinking

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).

Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Mon Sep 14 2026 • llm-stats.com

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

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

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.

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

11 months ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

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.

Qwen2.5 VL 7B Instruct
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about Qwen2.5 VL 7B Instruct vs Qwen3 VL 235B A22B Thinking.

Which is better, Qwen2.5 VL 7B Instruct or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 6.5. Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen2.5 VL 7B Instruct compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for Qwen2.5 VL 7B Instruct and Qwen3 VL 235B A22B Thinking?

Qwen2.5 VL 7B Instruct supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 VL 7B Instruct and Qwen3 VL 235B A22B Thinking?

Key differences include LLM Stats Score (6.5 vs 26.7). See the full comparison above for benchmark-by-benchmark results.

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