Model Comparison

DeepSeek R1 Distill Qwen 32B vs Qwen3 30B A3B

Qwen3 30B A3B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 32B is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while Qwen3 30B A3B is better at 2 benchmarks (GPQA, LiveCodeBench).

Qwen3 30B A3B shows notably better performance in the majority of benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than Qwen3 30B A3B ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.7x cheaper than Qwen3 30B A3B ($0.30/1M tokens).

In conclusion, Qwen3 30B A3B is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers

Mon Mar 30 2026 • llm-stats.com

DeepSeek R1 Distill Qwen 32B

Input tokens$0.12

Output tokens$0.18

Best providerDeepinfra

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

2.3B diff

DeepSeek R1 Distill Qwen 32B has 2.3B more parameters than Qwen3 30B A3B, making it 7.5% larger.

DeepSeek R1 Distill Qwen 32B

32.8Bparameters

Qwen3 30B A3B

30.5Bparameters

32.8B

DeepSeek R1 Distill Qwen 32B

30.5B

Qwen3 30B A3B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek R1 Distill Qwen 32B

Input128,000 tokens

Output128,000 tokens

Qwen3 30B A3B

Input128,000 tokens

Output128,000 tokens

Mon Mar 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B

MIT

Open weights

Qwen3 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Qwen3 30B A3B was released on 2025-04-29.

Qwen3 30B A3B is 3 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

Qwen3 30B A3B

Apr 29, 2025

11 months ago

3mo newer

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 R1 Distill Qwen 32B is available from DeepInfra. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.

DeepSeek R1 Distill Qwen 32B

Deepinfra

Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek R1 Distill Qwen 32B

View details

DeepSeek

Less expensive output tokens

Higher AIME 2024 score (83.3% vs 80.4%)

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Higher GPQA score (65.8% vs 62.1%)

Higher LiveCodeBench score (62.6% vs 57.2%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek R1 Distill Qwen 32B	Qwen3 30B A3B

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Qwen3 30B A3B

Qwen3 30B A3B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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 1.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Qwen3 30B A3B costs $0.10/M input and $0.30/M output via deepinfra.

DeepSeek R1 Distill Qwen 32B supports 128K 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 input pricing ($0.12 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Qwen3 30B A3B is developed by Alibaba Cloud / Qwen Team.

DeepSeek R1 Distill Qwen 32B vs Qwen3 30B A3B

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

DeepSeek R1 Distill Qwen 32B

Qwen3 30B A3B

Outputs Comparison

Key Takeaways

DeepSeek R1 Distill Qwen 32B

Qwen3 30B A3B

Detailed Comparison

FAQ

Which is better, DeepSeek R1 Distill Qwen 32B or Qwen3 30B A3B?

How does DeepSeek R1 Distill Qwen 32B compare to Qwen3 30B A3B in benchmarks?

Is DeepSeek R1 Distill Qwen 32B cheaper than Qwen3 30B A3B?

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Qwen3 30B A3B?

What are the main differences between DeepSeek R1 Distill Qwen 32B and Qwen3 30B A3B?

Who makes DeepSeek R1 Distill Qwen 32B and Qwen3 30B A3B?