Model Comparison

DeepSeek-V3 0324 vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 3.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Qwen3 32B is better at 2 benchmarks (AIME 2024, LiveCodeBench).

Qwen3 32B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 3.8x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

638.2B diff

DeepSeek-V3 0324 has 638.2B more parameters than Qwen3 32B, making it 1945.7% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
671.0B
DeepSeek-V3 0324
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Qwen3 32B's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Qwen3 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Qwen3 32B uses Apache 2.0.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 1 month newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

Qwen3 32B

Apr 29, 2025

11 months ago

1mo 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-V3 0324 is available from Novita. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (163,840 tokens)
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (81.4% vs 59.4%)
Higher LiveCodeBench score (65.7% vs 49.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about DeepSeek-V3 0324 vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Qwen3 32B 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 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Qwen3 32B is 2.8x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
DeepSeek-V3 0324 supports 164K tokens and Qwen3 32B 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 ($0.28 vs $0.10/M), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.