Model Comparison

DeepSeek-V3 vs DeepSeek-R1-0528

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while DeepSeek-R1-0528 is better at 8 benchmarks (Aider-Polyglot, AIME 2024, GPQA, LiveCodeBench, MMLU-Pro, MMLU-Redux, SimpleQA, SWE-Bench Verified).

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Sun May 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.9x cheaper than DeepSeek-R1-0528 ($0.50/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.0x cheaper than DeepSeek-R1-0528 ($2.15/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers

Sun May 31 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$1.10

Best providerDeepSeek

DeepSeek-R1-0528

Input tokens$0.50

Output tokens$2.15

Best providerDeepinfra

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Model Size

Parameter count comparison

0.0M diff

DeepSeek-R1-0528 has 0.0B more parameters than DeepSeek-V3, making it 0.0% larger.

DeepSeek-V3

671.0Bparameters

DeepSeek-R1-0528

671.0Bparameters

671.0B

DeepSeek-V3

671.0B

DeepSeek-R1-0528

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek-V3

Input131,072 tokens

Output131,072 tokens

DeepSeek-R1-0528

Input131,072 tokens

Output131,072 tokens

Sun May 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while DeepSeek-R1-0528 uses MIT.

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

DeepSeek-R1-0528

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while DeepSeek-R1-0528 was released on 2025-05-28.

DeepSeek-R1-0528 is 5 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

5mo 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. DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita.

DeepSeek-V3

DeepSeek

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

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

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-V3

View details

DeepSeek

Less expensive input tokens

Less expensive output tokens

DeepSeek-R1-0528

View details

DeepSeek

Higher Aider-Polyglot score (71.6% vs 49.6%)

Higher AIME 2024 score (91.4% vs 39.2%)

Higher GPQA score (81.0% vs 59.1%)

Higher LiveCodeBench score (73.3% vs 37.6%)

Higher MMLU-Pro score (85.0% vs 75.9%)

Higher MMLU-Redux score (93.4% vs 89.1%)

Higher SimpleQA score (92.3% vs 24.9%)

Higher SWE-Bench Verified score (44.6% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3	DeepSeek-R1-0528

FAQ

Common questions about DeepSeek-V3 vs DeepSeek-R1-0528.

Which is better, DeepSeek-V3 or DeepSeek-R1-0528?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and DeepSeek-R1-0528 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to DeepSeek-R1-0528 in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%.

Is DeepSeek-V3 cheaper than DeepSeek-R1-0528?

DeepSeek-V3 is 1.9x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and DeepSeek-R1-0528?

DeepSeek-V3 supports 131K tokens and DeepSeek-R1-0528 supports 131K 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 DeepSeek-R1-0528?

Key differences include input pricing ($0.27 vs $0.50/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.