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DeepSeek VL2 vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 3.2.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 3.2, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

Qwen3.8 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Flash

  • overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
3.2
#294
49.6
#16
Reasoning
-1.5
#312
49.2
#16
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
129,280
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2
Qwen3.8 Flash
Vision
2.8#159
34.4#13
Multimodal
5.7#129
36.2#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 · 22 for Qwen3.8 Flash

1 shared

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

Qwen3.8 Flash significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

98.0B diff

Qwen3.8 Flash has 98.0B more parameters than DeepSeek VL2, making it 363.0% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
27.0B
DeepSeek VL2
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Qwen3.8 Flash accepts 1,000,000 input tokens compared to DeepSeek VL2's 129,280 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and Qwen3.8 Flash support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Qwen3.8 Flash uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

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

Qwen3.8 Flash is 21 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.7 years ago

Qwen3.8 Flash

Aug 26, 2026

5 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

Provider Availability

DeepSeek VL2 is available from Replicate. Qwen3.8 Flash is available from Novita.

DeepSeek VL2

replicate logo
Replicate

Qwen3.8 Flash

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.47/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Qwen3.8 Flash.

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

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 3.2. DeepSeek VL2 is made by DeepSeek and Qwen3.8 Flash 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 compare to Qwen3.8 Flash in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for DeepSeek VL2 and Qwen3.8 Flash?

DeepSeek VL2 supports 129K tokens and Qwen3.8 Flash supports 1.0M 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 and Qwen3.8 Flash?

Key differences include LLM Stats Score (3.2 vs 49.6), context window (129K vs 1.0M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Qwen3.8 Flash?

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

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