Model Comparison

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

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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 1.5B

DeepSeek

2025-01-20

1 month newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 1.5B

Max Context:-

Parameters:1.8B

Larger context

Max Context:300.0K

Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Average Score:43.3%

+32.9%

Average Score:76.2%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

code

16.9%

math

+11.9%

83.9%

general

43.3%

code

+71.2%

88.1%

math

72.0%

general

+28.6%

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 1.5B

0 providers

2 providers

Azure

Throughput: 16 tok/s

Latency: 0.54ms

OpenAI

Throughput: 66 tok/s

Latency: 16.2ms

DeepSeek R1 Distill Qwen 1.5B

Avg Score:43.3%

Providers:0

+32.9%

Avg Score:76.2%

Providers:2