Model Comparison

DeepSeek-R1-0528 vs DeepSeek R1 Distill Qwen 7B

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while DeepSeek R1 Distill Qwen 7B is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

663.4B diff

DeepSeek-R1-0528 has 663.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 8705.8% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
671.0B
DeepSeek-R1-0528
7.6B
DeepSeek R1 Distill Qwen 7B

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Wed Apr 29 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-R1-0528

MIT

Open weights

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek R1 Distill Qwen 7B was released on 2025-01-20.

DeepSeek-R1-0528 is 4 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek-R1-0528

May 28, 2025

11 months ago

4mo newer
DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.3 years 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

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Higher AIME 2024 score (91.4% vs 83.3%)
Higher GPQA score (81.0% vs 49.1%)
Higher LiveCodeBench score (73.3% vs 37.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
DeepSeek
DeepSeek R1 Distill Qwen 7B

FAQ

Common questions about DeepSeek-R1-0528 vs DeepSeek R1 Distill Qwen 7B

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and DeepSeek R1 Distill Qwen 7B is made by DeepSeek. 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%. DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%.
DeepSeek-R1-0528 supports 131K tokens and DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.