Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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

DeepSeek

2024-12-25

DeepSeek-V3 0324

DeepSeek

2025-03-25

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

DeepSeek-V3 0324

Max Context:-

Parameters:671.0B

Average performance across 5 common benchmarks

DeepSeek-V3

Average Score:60.4%

DeepSeek-V3 0324

+10.0%

Average Score:70.4%

Performance comparison across key benchmark categories

DeepSeek-V3

math

90.2%

code

+24.0%

73.2%

general

65.1%

DeepSeek-V3 0324

math

+3.8%

94.0%

code

49.2%

general

+4.5%

69.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

DeepSeek-V3 0324

0 providers

DeepSeek-V3

Avg Score:60.4%

Providers:1

DeepSeek-V3 0324

+10.0%

Avg Score:70.4%

Providers:0