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.

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.

o1-mini

OpenAI

2024-09-12

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 7B

Max Context:-

Parameters:7.6B

o1-mini

Larger context

Max Context:193.5K

Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 7B

Average Score:71.0%

o1-mini

+4.0%

Average Score:75.0%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

math

+2.8%

92.8%

code

37.6%

general

+8.2%

66.2%

o1-mini

math

90.0%

code

+54.8%

92.4%

general

58.0%

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

o1-mini

2 providers

Azure

Throughput: 100 tok/s

Latency: 0.5ms

OpenAI

Throughput: 115 tok/s

Latency: 5.2ms

DeepSeek R1 Distill Qwen 7B

Avg Score:71.0%

Providers:0

o1-mini

+4.0%

Avg Score:75.0%

Providers:2