Model Comparison

DeepSeek-R1-0528 vs DeepSeek-R1Which is better in 2026?

Comparing DeepSeek-R1-0528 and DeepSeek-R1 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1-0528 vs DeepSeek-R1 — which is better?

DeepSeek-R1-0528 (by DeepSeek) and DeepSeek-R1 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, DeepSeek-R1-0528 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose DeepSeek-R1-0528 if…

  • cost matters — it's about 1.1x cheaper per token
  • you want the most recent training data — it shipped May 2025

Choose DeepSeek-R1 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1-0528 and DeepSeek-R1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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) is 1.1x cheaper than DeepSeek-R1 ($0.55/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 1.0x cheaper than DeepSeek-R1 ($2.19/1M tokens).

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

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

Lowest available price from all providers
Mon Jul 13 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

0.0M diff

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

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
DeepSeek
DeepSeek-R1
671.0Bparameters
671.0B
DeepSeek-R1-0528
671.0B
DeepSeek-R1

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
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Mon Jul 13 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

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek-R1 was released on 2025-01-20.

DeepSeek-R1-0528 is 4 months newer than DeepSeek-R1.

DeepSeek-R1-0528

May 28, 2025

1.1 years ago

4mo newer
DeepSeek-R1

Jan 20, 2025

1.5 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

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks.

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

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-R1-0528 and DeepSeek-R1 side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528
✓ Preferred
DeepSeek-R1
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
DeepSeek
DeepSeek-R1

FAQ

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

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

DeepSeek-R1-0528 (DeepSeek) and DeepSeek-R1 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1-0528 compare to DeepSeek-R1 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%.

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

DeepSeek-R1-0528 is 1.1x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek.

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

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

Key differences include input pricing ($0.50 vs $0.55/M). See the full comparison above for benchmark-by-benchmark results.