Model Comparison

DeepSeek-V3.2-Exp vs Qwen3 VL 30B A3B Thinking

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.2-Exp outperforms in 4 benchmarks (AIME 2025, GPQA, MMLU-Pro, SimpleQA), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks.

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

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.4x more expensive than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 2.4x cheaper than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).

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

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

Lowest available price from all providers

Sun May 10 2026 • llm-stats.com

DeepSeek-V3.2-Exp

Input tokens$0.27

Output tokens$0.41

Best providerNovita

Qwen3 VL 30B A3B Thinking

Input tokens$0.20

Output tokens$0.99

Best providerNovita

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Model Size

Parameter count comparison

654.0B diff

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

DeepSeek-V3.2-Exp

685.0Bparameters

Qwen3 VL 30B A3B Thinking

31.0Bparameters

685.0B

DeepSeek-V3.2-Exp

31.0B

Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Qwen3 VL 30B A3B Thinking's 131,072 tokens. DeepSeek-V3.2-Exp can generate longer responses up to 65,536 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.

DeepSeek-V3.2-Exp

Input163,840 tokens

Output65,536 tokens

Qwen3 VL 30B A3B Thinking

Input131,072 tokens

Output32,768 tokens

Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

DeepSeek-V3.2-Exp

Text

Images

Audio

Video

Qwen3 VL 30B A3B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

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

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

DeepSeek-V3.2-Exp

MIT

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

DeepSeek-V3.2-Exp is 0 month newer than Qwen3 VL 30B A3B Thinking.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

1w newer

Qwen3 VL 30B A3B Thinking

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-Exp is available from Novita. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.

DeepSeek-V3.2-Exp

Novita

Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Qwen3 VL 30B A3B Thinking

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M

Deepinfra

Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-V3.2-Exp

View details

DeepSeek

Larger context window (163,840 tokens)

Less expensive output tokens

Higher AIME 2025 score (89.3% vs 83.1%)

Higher GPQA score (79.9% vs 74.4%)

Higher MMLU-Pro score (85.0% vs 80.5%)

Higher SimpleQA score (97.1% vs 23.9%)

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3.2-Exp	Qwen3 VL 30B A3B Thinking

FAQ

Common questions about DeepSeek-V3.2-Exp vs Qwen3 VL 30B A3B Thinking.

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

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Qwen3 VL 30B A3B Thinking 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-Exp compare to Qwen3 VL 30B A3B Thinking in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

Is DeepSeek-V3.2-Exp cheaper than Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking is 1.4x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Qwen3 VL 30B A3B Thinking costs $0.20/M input and $0.99/M output via novita.

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

DeepSeek-V3.2-Exp supports 164K tokens and Qwen3 VL 30B A3B Thinking 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-Exp and Qwen3 VL 30B A3B Thinking?

Key differences include context window (164K vs 131K), input pricing ($0.27 vs $0.20/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-Exp and Qwen3 VL 30B A3B Thinking?

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