Model Comparison

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

DeepSeek

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.

Amazon

Nova Pro

Amazon

Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.

Amazon

Nova Pro

Amazon

2024-11-20

DeepSeek

DeepSeek-V3 0324

DeepSeek

2025-03-25

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3 0324

Max Context:-
Parameters:671.0B
Amazon

Nova Pro

Larger context
Max Context:600.0K

Average performance across 1 common benchmarks

DeepSeek

DeepSeek-V3 0324

+21.5%
Average Score:68.4%
Amazon

Nova Pro

Average Score:46.9%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3 0324

math
+8.3%
94.0%
code
49.2%
general
+2.3%
69.7%
Amazon

Nova Pro

math
85.7%
code
+41.3%
90.5%
general
67.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3 0324

0 providers
Amazon

Nova Pro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-V3 0324

+21.5%
Avg Score:68.4%
Providers:0
Amazon

Nova Pro

Avg Score:46.9%
Providers:1