Model Comparison

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

DeepSeek

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Amazon

Nova Micro

Amazon

Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.

Amazon

Nova Micro

Amazon

2024-11-20

DeepSeek

DeepSeek R1 Zero

DeepSeek

2025-01-20

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Zero

Max Context:-
Parameters:671.0B
Amazon

Nova Micro

Larger context
Max Context:256.0K

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Zero

+33.3%
Average Score:73.3%
Amazon

Nova Micro

Average Score:40.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
+15.1%
95.9%
code
50.0%
general
+20.0%
80.0%
Amazon

Nova Micro

math
80.8%
code
+34.2%
84.2%
general
60.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Zero

0 providers
Amazon

Nova Micro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek R1 Zero

+33.3%
Avg Score:73.3%
Providers:0
Amazon

Nova Micro

Avg Score:40.0%
Providers:1