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.

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-V3

DeepSeek

2024-12-25

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

26 days newer

Performance Metrics

Context window and performance specifications

DeepSeek R1 Distill Qwen 7B

Max Context:-

Parameters:7.6B

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

Average performance across 4 common benchmarks

DeepSeek R1 Distill Qwen 7B

+9.2%

Average Score:65.7%

DeepSeek-V3

Average Score:56.5%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

math

+2.6%

92.8%

code

37.6%

general

+1.1%

66.2%

DeepSeek-V3

math

90.2%

code

+35.6%

73.2%

general

65.1%

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

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

DeepSeek R1 Distill Qwen 7B

+9.2%

Avg Score:65.7%

Providers:0

DeepSeek-V3

Avg Score:56.5%

Providers:1