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DeepSeek-V3.2-Speciale vs Qwen3 VL 30B A3B Instruct

DeepSeek-V3.2-Speciale leads the LLM Stats Score 33.9 to 16.4. Qwen3 VL 30B A3B Instruct is 1.2x cheaper per token.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V3.2-Speciale leads the overall LLM Stats Score 33.9 to 16.4, ranking #95 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V3.2-Speciale wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 30B A3B Instruct is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 30B A3B Instruct also accepts a larger context window (262,144 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-V3.2-Speciale

  • overall performance matters — it scores 33.9 and ranks #95 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 want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 30B A3B Instruct

  • cost matters — it's about 1.2x cheaper per token
  • you process long inputs — it offers a 262,144 token context window

At a glance

The differences that matter most.

DeepSeek-V3.2-Speciale
DeepSeek
Qwen3 VL 30B A3B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
33.9
#95
16.4
#222
Reasoning
32.5
#102
15.0
#225
Agents
11.1
#112
4.5
#154
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.28 / M
$0.15 / M
Output price
$0.42 / M
$0.60 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2-Speciale
Qwen3 VL 30B A3B Instruct
Math
34.2#49
16.5#203
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for DeepSeek-V3.2-Speciale · 50 for Qwen3 VL 30B A3B Instruct

1 shared

DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks.

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Instruct costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 1.9x more expensive than Qwen3 VL 30B A3B Instruct ($0.15/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 1.4x cheaper than Qwen3 VL 30B A3B Instruct ($0.60/1M tokens).

In conclusion, DeepSeek-V3.2-Speciale is more expensive than Qwen3 VL 30B A3B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Sep 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input tokens$0.15
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

654.0B diff

DeepSeek-V3.2-Speciale has 654.0B more parameters than Qwen3 VL 30B A3B Instruct, making it 2109.7% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 30B A3B Instruct accepts 262,144 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. Qwen3 VL 30B A3B Instruct can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input262,144 tokens
Output262,144 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

DeepSeek-V3.2-Speciale is 2 months newer than Qwen3 VL 30B A3B Instruct.

DeepSeek-V3.2-Speciale

Dec 1, 2025

9 months ago

2mo newer
Qwen3 VL 30B A3B Instruct

Sep 22, 2025

11 months ago

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-V3.2-Speciale is available from DeepSeek. Qwen3 VL 30B A3B Instruct is available from DeepInfra, Novita.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Qwen3 VL 30B A3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M
* 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-V3.2-Speciale and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Speciale
✓ Preferred
Qwen3 VL 30B A3B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Qwen3 VL 30B A3B Instruct.

Which is better, DeepSeek-V3.2-Speciale or Qwen3 VL 30B A3B Instruct?

DeepSeek-V3.2-Speciale leads the LLM Stats Score 33.9 to 16.4. DeepSeek-V3.2-Speciale is made by DeepSeek and Qwen3 VL 30B A3B Instruct 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-V3.2-Speciale compare to Qwen3 VL 30B A3B Instruct in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is DeepSeek-V3.2-Speciale cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 1.9x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Qwen3 VL 30B A3B Instruct costs $0.15/M input and $0.60/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.2-Speciale and Qwen3 VL 30B A3B Instruct?

DeepSeek-V3.2-Speciale supports 131K tokens and Qwen3 VL 30B A3B Instruct 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-V3.2-Speciale and Qwen3 VL 30B A3B Instruct?

Key differences include LLM Stats Score (33.9 vs 16.4), context window (131K vs 262K), input pricing ($0.28 vs $0.15/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and Qwen3 VL 30B A3B Instruct?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.

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