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DeepSeek VL2 Small vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek VL2 Small outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (RealWorldQA). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek VL2 Small

  • you are already invested in the DeepSeek ecosystem

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Dec 2024
Aug 2026
License
deepseek
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 Small outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (RealWorldQA).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

109.0B diff

Qwen3.8-Flash-Next has 109.0B more parameters than DeepSeek VL2 Small, making it 681.3% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
16.0B
DeepSeek VL2 Small
125.0B
Qwen3.8-Flash-Next

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Small and Qwen3.8-Flash-Next support multimodal inputs.

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

DeepSeek VL2 Small

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

DeepSeek VL2 Small

deepseek

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 21 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.7yr 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 Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Qwen3.8-Flash-Next.

Which is better, DeepSeek VL2 Small or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. DeepSeek VL2 Small is made by DeepSeek and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 Small compare to Qwen3.8-Flash-Next in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the main differences between DeepSeek VL2 Small and Qwen3.8-Flash-Next?

Key differences include licensing (deepseek vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Qwen3.8-Flash-Next?

DeepSeek VL2 Small is developed by DeepSeek and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.