Model Comparison
DeepSeek-V3 0324 vs Qwen3 30B A3BWhich is better in 2026?
Qwen3 30B A3B shows notably better performance in the majority of benchmarks. Qwen3 30B A3B is 3.3x cheaper per token.
Verdict: DeepSeek-V3 0324 vs Qwen3 30B A3B — which is better?
DeepSeek-V3 0324 (by DeepSeek) and Qwen3 30B A3B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3 0324 outperforms in 1 benchmarks (GPQA), while Qwen3 30B A3B is better at 2 benchmarks (AIME 2024, LiveCodeBench). Qwen3 30B A3B shows notably better performance in the majority of benchmarks.
On price, Qwen3 30B A3B is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 0324 if…
- you process long inputs — it offers a 163,840 token context window
Choose Qwen3 30B A3B if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 3.3x cheaper per token
- you want the most recent training data — it shipped Apr 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 1 benchmarks (GPQA), while Qwen3 30B A3B is better at 2 benchmarks (AIME 2024, LiveCodeBench).
Qwen3 30B A3B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than Qwen3 30B A3B ($0.10/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 3.8x more expensive than Qwen3 30B A3B ($0.30/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than Qwen3 30B A3B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 640.5B more parameters than Qwen3 30B A3B, making it 2100.0% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to Qwen3 30B A3B's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Qwen3 30B A3B is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Qwen3 30B A3B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Qwen3 30B A3B was released on 2025-04-29.
Qwen3 30B A3B is 1 month newer than DeepSeek-V3 0324.
Mar 25, 2025
1.2 years ago
Apr 29, 2025
1.1 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 0324 is available from Novita. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.
DeepSeek-V3 0324
Qwen3 30B A3B
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Qwen3 30B A3B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Qwen3 30B A3B.