Model Comparison

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

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Nova Micro

Amazon

2024-11-20

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 7B

Max Context:-

Parameters:7.6B

Nova Micro

Larger context

Max Context:256.0K

Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 7B

+9.1%

Average Score:49.1%

Nova Micro

Average Score:40.0%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

math

+12.0%

92.8%

code

37.6%

general

+6.2%

66.2%

Nova Micro

math

80.8%

code

+46.6%

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 R1 Distill Qwen 7B

0 providers

Nova Micro

1 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

DeepSeek R1 Distill Qwen 7B

+9.1%

Avg Score:49.1%

Providers:0

Nova Micro

Avg Score:40.0%

Providers:1