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DeepSeek VL2 Small vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking leads the LLM Stats Score 16.3 to 1.4.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 8B Thinking leads the overall LLM Stats Score 16.3 to 1.4, ranking #212 overall.

In the 5 individual benchmarks reported for both models, Qwen3 VL 8B Thinking wins 4; 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 DeepSeek VL2 Small

  • you are already invested in the DeepSeek ecosystem

Choose Qwen3 VL 8B Thinking

  • overall performance matters — it scores 16.3 and ranks #212 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
Qwen3 VL 8B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
1.4
#309
16.3
#212
Reasoning
-3.6
#326
17.2
#200
Cost, coverage & limits
Benchmark wins
1 of 5
4 of 5
Input price
— / M
$0.18 / M
Output price
— / M
$2.09 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Small
Qwen3 VL 8B Thinking
Vision
1.1#174
11.4#107
Multimodal
3.8#138
14.2#92
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Small · 50 for Qwen3 VL 8B Thinking

5 shared

DeepSeek VL2 Small outperforms in 1 benchmarks (OCRBench), while Qwen3 VL 8B Thinking is better at 4 benchmarks (AI2D, MMBench-V1.1, MMStar, RealWorldQA).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

7.0B diff

DeepSeek VL2 Small has 7.0B more parameters than Qwen3 VL 8B Thinking, making it 77.8% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
16.0B
DeepSeek VL2 Small
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and Qwen3 VL 8B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Small

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Qwen3 VL 8B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2 Small

deepseek

Open weights

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 9 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

11 months ago

9mo 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 DeepSeek VL2 Small and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Qwen3 VL 8B Thinking.

Which is better, DeepSeek VL2 Small or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking leads the LLM Stats Score 16.3 to 1.4. DeepSeek VL2 Small is made by DeepSeek and Qwen3 VL 8B 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 DeepSeek VL2 Small compare to Qwen3 VL 8B Thinking in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for DeepSeek VL2 Small and Qwen3 VL 8B Thinking?

DeepSeek VL2 Small supports an unknown number of tokens and Qwen3 VL 8B 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 DeepSeek VL2 Small and Qwen3 VL 8B Thinking?

Key differences include LLM Stats Score (1.4 vs 16.3), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Qwen3 VL 8B Thinking?

DeepSeek VL2 Small is developed by DeepSeek and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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