Model Comparison

DeepSeek-V3 vs Qwen3 235B A22B

DeepSeek-V3 shows notably better performance in the majority of benchmarks. Qwen3 235B A22B is 4.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V3 outperforms in 4 benchmarks (GPQA, MMLU, MMLU-Pro, MMLU-Redux), while Qwen3 235B A22B is better at 2 benchmarks (AIME 2024, LiveCodeBench).

DeepSeek-V3 shows notably better performance in the majority of benchmarks.

Tue May 05 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 ($0.27/1M tokens) is 2.7x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 11.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

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

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

Lowest available price from all providers

Tue May 05 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$1.10

Best providerDeepSeek

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

DeepSeek-V3

671.0Bparameters

Qwen3 235B A22B

235.0Bparameters

671.0B

DeepSeek-V3

235.0B

Qwen3 235B A22B

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Qwen3 235B A22B's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

DeepSeek-V3

Input131,072 tokens

Output131,072 tokens

Qwen3 235B A22B

Input128,000 tokens

Output128,000 tokens

Tue May 05 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 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

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 was released on 2024-12-25, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 4 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Qwen3 235B A22B

Apr 29, 2025

1.0 years ago

4mo 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 is available from DeepSeek. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

DeepSeek-V3

DeepSeek

Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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

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Key Takeaways

DeepSeek-V3

View details

DeepSeek

Larger context window (131,072 tokens)

Higher GPQA score (59.1% vs 47.5%)

Higher MMLU score (88.5% vs 87.8%)

Higher MMLU-Pro score (75.9% vs 68.2%)

Higher MMLU-Redux score (89.1% vs 87.4%)

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher AIME 2024 score (85.7% vs 39.2%)

Higher LiveCodeBench score (70.7% vs 37.6%)

Detailed Comparison

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

FAQ

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

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

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 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 compare to Qwen3 235B A22B in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

Is DeepSeek-V3 cheaper than Qwen3 235B A22B?

Qwen3 235B A22B is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.

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

DeepSeek-V3 supports 131K 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 and Qwen3 235B A22B?

Key differences include context window (131K vs 128K), input pricing ($0.27 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 and Qwen3 235B A22B?

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