Model Comparison

DeepSeek-V3.2-Speciale vs Qwen3 VL 8B Instruct

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. Qwen3 VL 8B Instruct is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 8B Instruct is better at 0 benchmarks.

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

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Instruct costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 3.5x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 1.2x cheaper than Qwen3 VL 8B Instruct ($0.50/1M tokens).

In conclusion, DeepSeek-V3.2-Speciale is more expensive than Qwen3 VL 8B Instruct.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

DeepSeek-V3.2-Speciale

Input tokens$0.28

Output tokens$0.42

Best providerDeepSeek

Qwen3 VL 8B Instruct

Input tokens$0.08

Output tokens$0.50

Best providerNovita

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Model Size

Parameter count comparison

676.0B diff

DeepSeek-V3.2-Speciale has 676.0B more parameters than Qwen3 VL 8B Instruct, making it 7511.1% larger.

DeepSeek-V3.2-Speciale

685.0Bparameters

Qwen3 VL 8B Instruct

9.0Bparameters

685.0B

DeepSeek-V3.2-Speciale

9.0B

Qwen3 VL 8B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.

DeepSeek-V3.2-Speciale

Input131,072 tokens

Output131,072 tokens

Qwen3 VL 8B Instruct

Input131,072 tokens

Output32,768 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 8B Instruct supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Qwen3 VL 8B 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 8B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Qwen3 VL 8B 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 8B 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 8B Instruct was released on 2025-09-22.

DeepSeek-V3.2-Speciale is 2 months newer than Qwen3 VL 8B Instruct.

DeepSeek-V3.2-Speciale

Dec 1, 2025

5 months ago

2mo newer

Qwen3 VL 8B Instruct

Sep 22, 2025

7 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 8B Instruct is available from Novita, DeepInfra.

DeepSeek-V3.2-Speciale

DeepSeek

Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Qwen3 VL 8B Instruct

Novita

Input Price:Input: $0.08/1MOutput Price:Output: $0.50/1M

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.69/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-V3.2-Speciale

View details

DeepSeek

Less expensive output tokens

Higher AIME 2025 score (96.0% vs 45.9%)

Qwen3 VL 8B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3.2-Speciale	Qwen3 VL 8B Instruct

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Qwen3 VL 8B Instruct.

Which is better, DeepSeek-V3.2-Speciale or Qwen3 VL 8B Instruct?

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is made by DeepSeek and Qwen3 VL 8B Instruct 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-V3.2-Speciale compare to Qwen3 VL 8B 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 8B Instruct scores DocVQAtest: 96.1%, ScreenSpot: 94.4%, OCRBench: 89.6%, AI2D: 85.7%, MMBench-V1.1: 85.0%.

Is DeepSeek-V3.2-Speciale cheaper than Qwen3 VL 8B Instruct?

Qwen3 VL 8B Instruct is 3.5x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Qwen3 VL 8B Instruct costs $0.08/M input and $0.50/M output via novita.

What are the context window sizes for DeepSeek-V3.2-Speciale and Qwen3 VL 8B Instruct?

DeepSeek-V3.2-Speciale supports 131K tokens and Qwen3 VL 8B Instruct supports 131K 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 8B Instruct?

Key differences include input pricing ($0.28 vs $0.08/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 8B Instruct?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Qwen3 VL 8B Instruct is developed by Alibaba Cloud / Qwen Team.