Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 62.2% across 22 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). The model shows particular specialization in factuality tasks with an average performance of 92.9%. It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-V3.1

DeepSeek

2025-01-10

DeepSeek-R1-0528

DeepSeek

2025-05-28

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-R1-0528

Input:$0.50

Output:$2.15

DeepSeek-V3.1

$1.38 cheaper

Input:$0.27

Output:$1.00

Performance Metrics

Context window and performance specifications

DeepSeek-R1-0528

Max Context:262.1K

Parameters:671.0B

DeepSeek-V3.1

Larger context

Max Context:327.7K

Parameters:671.0B

Average performance across 16 common benchmarks

DeepSeek-R1-0528

+1.7%

Average Score:60.1%

DeepSeek-V3.1

Average Score:58.4%

Performance comparison across key benchmark categories

DeepSeek-R1-0528

factuality

+0.3%

92.9%

math

+43.0%

84.6%

reasoning

+6.1%

81.0%

general

+1.5%

58.8%

code

53.7%

DeepSeek-V3.1

factuality

92.6%

math

41.6%

reasoning

74.9%

general

57.3%

code

+2.7%

56.5%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s

Latency: 0.61ms

Novita

Throughput: 37.96 tok/s

Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

DeepSeek-V3.1

2 providers

DeepInfra

Novita

DeepSeek-R1-0528

+1.7%

Avg Score:60.1%

Providers:3

DeepSeek-V3.1

Avg Score:58.4%

Providers:2