Model Comparison

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

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. Qwen3 30B A3B is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (AIME 2025, GPQA, LiveCodeBench), while Qwen3 30B A3B is better at 0 benchmarks.

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

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 30B A3B costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 2.7x more expensive than Qwen3 30B A3B ($0.10/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 1.4x more expensive than Qwen3 30B A3B ($0.30/1M tokens).

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

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

Lowest available price from all providers

Thu Apr 30 2026 • llm-stats.com

DeepSeek-V3.2-Exp

Input tokens$0.27

Output tokens$0.41

Best providerNovita

Qwen3 30B A3B

Input tokens$0.10

Output tokens$0.30

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

654.5B diff

DeepSeek-V3.2-Exp has 654.5B more parameters than Qwen3 30B A3B, making it 2145.9% larger.

DeepSeek-V3.2-Exp

685.0Bparameters

Qwen3 30B A3B

30.5Bparameters

685.0B

DeepSeek-V3.2-Exp

30.5B

Qwen3 30B A3B

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Qwen3 30B A3B's 128,000 tokens. Qwen3 30B A3B can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek-V3.2-Exp

Input163,840 tokens

Output65,536 tokens

Qwen3 30B A3B

Input128,000 tokens

Output128,000 tokens

Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Qwen3 30B A3B 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 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Qwen3 30B A3B was released on 2025-04-29.

DeepSeek-V3.2-Exp is 5 months newer than Qwen3 30B A3B.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

5mo newer

Qwen3 30B A3B

Apr 29, 2025

1.0 years 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 30B A3B is available from DeepInfra, Novita, Fireworks.

DeepSeek-V3.2-Exp

Novita

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

Qwen3 30B A3B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

* 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)

Higher AIME 2025 score (89.3% vs 70.9%)

Higher GPQA score (79.9% vs 65.8%)

Higher LiveCodeBench score (74.1% vs 62.6%)

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

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

FAQ

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

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Qwen3 30B A3B 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 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.

Qwen3 30B A3B is 2.7x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Qwen3 30B A3B costs $0.10/M input and $0.30/M output via deepinfra.

DeepSeek-V3.2-Exp supports 164K tokens and Qwen3 30B A3B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (164K vs 128K), input pricing ($0.27 vs $0.10/M), 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 30B A3B is developed by Alibaba Cloud / Qwen Team.

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

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

DeepSeek-V3.2-Exp

Qwen3 30B A3B

Outputs Comparison

Key Takeaways

DeepSeek-V3.2-Exp

Qwen3 30B A3B

Detailed Comparison

FAQ

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

How does DeepSeek-V3.2-Exp compare to Qwen3 30B A3B in benchmarks?

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

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

What are the main differences between DeepSeek-V3.2-Exp and Qwen3 30B A3B?

Who makes DeepSeek-V3.2-Exp and Qwen3 30B A3B?