Model Comparison

DeepSeek-R1-0528 vs Qwen3 Max

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is 1.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 Max is better at 1 benchmark (SWE-Bench Verified).

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks.

Wed May 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-R1-0528 costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) costs the same as Qwen3 Max ($0.50/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 2.3x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max is more expensive than DeepSeek-R1-0528.*

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

Lowest available price from all providers

Wed May 20 2026 • llm-stats.com

DeepSeek-R1-0528

Input tokens$0.50

Output tokens$2.15

Best providerDeepinfra

Qwen3 Max

Input tokens$0.50

Output tokens$5.00

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

329.0B diff

Qwen3 Max has 329.0B more parameters than DeepSeek-R1-0528, making it 49.0% larger.

DeepSeek-R1-0528

671.0Bparameters

Qwen3 Max

1.0Tparameters

671.0B

DeepSeek-R1-0528

1000.0B

Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3 Max accepts 256,000 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek-R1-0528

Input131,072 tokens

Output131,072 tokens

Qwen3 Max

Input256,000 tokens

Output131,072 tokens

Wed May 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Qwen3 Max uses a proprietary license.

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

DeepSeek-R1-0528

MIT

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 7 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

11 months ago

Qwen3 Max

Dec 15, 2025

5 months ago

6mo 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. Qwen3 Max is available from Novita.

DeepSeek-R1-0528

Deepinfra

Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M

DeepSeek

Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M

Novita

Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

Qwen3 Max

Novita

Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-R1-0528

View details

DeepSeek

Less expensive output tokens

Has open weights

Higher AIME 2025 score (87.5% vs 81.6%)

Higher GPQA score (81.0% vs 62.0%)

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Higher SWE-Bench Verified score (69.6% vs 44.6%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-R1-0528	Qwen3 Max

FAQ

Common questions about DeepSeek-R1-0528 vs Qwen3 Max.

Which is better, DeepSeek-R1-0528 or Qwen3 Max?

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Qwen3 Max 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-R1-0528 compare to Qwen3 Max in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is DeepSeek-R1-0528 cheaper than Qwen3 Max?

Both models cost $0.50 per million input tokens.

What are the context window sizes for DeepSeek-R1-0528 and Qwen3 Max?

DeepSeek-R1-0528 supports 131K tokens and Qwen3 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and Qwen3 Max?

Key differences include context window (131K vs 256K), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Qwen3 Max?

DeepSeek-R1-0528 is developed by DeepSeek and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.