Model Comparison

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

DeepSeek R1 Distill Qwen 14B

DeepSeek

DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

2024-12-17

DeepSeek R1 Distill Qwen 14B

DeepSeek

2025-01-20

1 month newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 14B

Max Context:-

Parameters:14.8B

Larger context

Max Context:300.0K

Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 14B

Average Score:69.5%

+6.6%

Average Score:76.2%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 14B

math

+21.9%

93.9%

code

53.1%

general

69.5%

math

72.0%

code

+35.0%

88.1%

general

+2.3%

71.8%

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 14B

0 providers

2 providers

Azure

Throughput: 16 tok/s

Latency: 0.54ms

OpenAI

Throughput: 66 tok/s

Latency: 16.2ms

DeepSeek R1 Distill Qwen 14B

Avg Score:69.5%

Providers:0

+6.6%

Avg Score:76.2%

Providers:2