Model Comparison

DeepSeek-V3 0324 vs Qwen3 235B A22B

Both models are evenly matched across the benchmarks. Qwen3 235B A22B is 4.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen3 235B A22B is better at 2 benchmarks (AIME 2024, LiveCodeBench).

Both models are evenly matched across the benchmarks.

Thu May 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 11.4x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than Qwen3 235B A22B.*

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

Lowest available price from all providers

Thu May 28 2026 • llm-stats.com

DeepSeek-V3 0324

Input tokens$0.28

Output tokens$1.14

Best providerNovita

Qwen3 235B A22B

Input tokens$0.10

Output tokens$0.10

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

436.0B diff

DeepSeek-V3 0324 has 436.0B more parameters than Qwen3 235B A22B, making it 185.5% larger.

DeepSeek-V3 0324

671.0Bparameters

Qwen3 235B A22B

235.0Bparameters

671.0B

DeepSeek-V3 0324

235.0B

Qwen3 235B A22B

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Qwen3 235B A22B's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

DeepSeek-V3 0324

Input163,840 tokens

Output163,840 tokens

Qwen3 235B A22B

Input128,000 tokens

Output128,000 tokens

Thu May 28 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Qwen3 235B A22B 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 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 1 month newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

Qwen3 235B A22B

Apr 29, 2025

1.1 years 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 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

DeepSeek-V3 0324

Novita

Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

Qwen3 235B A22B

Fireworks

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

Deepinfra

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M

Together

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek-V3 0324

View details

DeepSeek

Larger context window (163,840 tokens)

Higher GPQA score (68.4% vs 47.5%)

Higher MMLU-Pro score (81.2% vs 68.2%)

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher AIME 2024 score (85.7% vs 59.4%)

Higher LiveCodeBench score (70.7% vs 49.2%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3 0324	Qwen3 235B A22B

FAQ

Common questions about DeepSeek-V3 0324 vs Qwen3 235B A22B.

Which is better, DeepSeek-V3 0324 or Qwen3 235B A22B?

Both models are evenly matched across the benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 0324 compare to Qwen3 235B A22B in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

Is DeepSeek-V3 0324 cheaper than Qwen3 235B A22B?

Qwen3 235B A22B is 2.8x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.

What are the context window sizes for DeepSeek-V3 0324 and Qwen3 235B A22B?

DeepSeek-V3 0324 supports 164K tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 0324 and Qwen3 235B A22B?

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.

Who makes DeepSeek-V3 0324 and Qwen3 235B A22B?

DeepSeek-V3 0324 is developed by DeepSeek and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.