Model Comparison

DeepSeek-V3.2-Exp vs Qwen3 VL 235B A22B Thinking

DeepSeek-V3.2-Exp shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Exp is 4.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (Humanity's Last Exam, MMLU-Pro, SimpleQA), while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (AIME 2025).

DeepSeek-V3.2-Exp shows notably better performance in the majority of benchmarks.

Thu Apr 30 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 1.7x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 8.5x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B 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
Thu Apr 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input tokens$0.45
Output tokens$3.49
Best providerDeepinfra
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Model Size

Parameter count comparison

449.0B diff

DeepSeek-V3.2-Exp has 449.0B more parameters than Qwen3 VL 235B A22B Thinking, making it 190.3% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
685.0B
DeepSeek-V3.2-Exp
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Qwen3 VL 235B A22B 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 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Qwen3 VL 235B A22B 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 235B A22B 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 235B A22B Thinking was released on 2025-09-22.

DeepSeek-V3.2-Exp is 0 month newer than Qwen3 VL 235B A22B Thinking.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

1w newer
Qwen3 VL 235B A22B 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 235B A22B Thinking is available from DeepInfra, Novita.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Qwen3 VL 235B A22B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M
novita logo
Novita
Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher Humanity's Last Exam score (19.8% vs 13.6%)
Higher MMLU-Pro score (85.0% vs 83.8%)
Higher SimpleQA score (97.1% vs 44.4%)
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Supports multimodal inputs
Higher AIME 2025 score (89.7% vs 89.3%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking

FAQ

Common questions about DeepSeek-V3.2-Exp vs Qwen3 VL 235B A22B Thinking

DeepSeek-V3.2-Exp shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Qwen3 VL 235B A22B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.
DeepSeek-V3.2-Exp is 1.7x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.
DeepSeek-V3.2-Exp supports 164K tokens and Qwen3 VL 235B A22B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 262K), input pricing ($0.27 vs $0.45/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Exp is developed by DeepSeek and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.