Model Comparison

DeepSeek-R1-0528 vs Qwen3 235B A22B

DeepSeek-R1-0528 significantly outperforms across most benchmarks. Qwen3 235B A22B is 9.1x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-R1-0528 outperforms in 6 benchmarks (AIME 2024, AIME 2025, GPQA, LiveCodeBench, MMLU-Pro, MMLU-Redux), while Qwen3 235B A22B is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Fri Apr 17 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-R1-0528 ($0.50/1M tokens) is 5.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 21.5x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Qwen3 235B A22B.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
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Model Size

Parameter count comparison

436.0B diff

DeepSeek-R1-0528 has 436.0B more parameters than Qwen3 235B A22B, making it 185.5% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
671.0B
DeepSeek-R1-0528
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

DeepSeek-R1-0528 accepts 131,072 input tokens compared to Qwen3 235B A22B's 128,000 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, 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-R1-0528

MIT

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Qwen3 235B A22B was released on 2025-04-29.

DeepSeek-R1-0528 is 1 month newer than Qwen3 235B A22B.

DeepSeek-R1-0528

May 28, 2025

10 months ago

4w newer
Qwen3 235B A22B

Apr 29, 2025

11 months ago

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-R1-0528 is available from DeepInfra, DeepSeek, Novita. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

Qwen3 235B A22B

fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M
together logo
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

Larger context window (131,072 tokens)
Higher AIME 2024 score (91.4% vs 85.7%)
Higher AIME 2025 score (87.5% vs 81.5%)
Higher GPQA score (81.0% vs 47.5%)
Higher LiveCodeBench score (73.3% vs 70.7%)
Higher MMLU-Pro score (85.0% vs 68.2%)
Higher MMLU-Redux score (93.4% vs 87.4%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about DeepSeek-R1-0528 vs Qwen3 235B A22B

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 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.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
Qwen3 235B A22B is 5.0x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.
DeepSeek-R1-0528 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.
Key differences include context window (131K vs 128K), input pricing ($0.50 vs $0.10/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.