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 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-V3 0324

DeepSeek

2025-03-25

DeepSeek-R1-0528

DeepSeek

2025-05-28

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-R1-0528

Larger context

Max Context:262.1K

Parameters:671.0B

DeepSeek-V3 0324

Max Context:-

Parameters:671.0B

Average performance across 4 common benchmarks

DeepSeek-R1-0528

+18.1%

Average Score:82.7%

DeepSeek-V3 0324

Average Score:64.5%

Performance comparison across key benchmark categories

DeepSeek-R1-0528

code

+24.1%

73.3%

general

69.2%

DeepSeek-V3 0324

code

49.2%

general

+0.5%

69.7%

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 0324

0 providers

DeepSeek-R1-0528

+18.1%

Avg Score:82.7%

Providers:3

DeepSeek-V3 0324

Avg Score:64.5%

Providers:0