Model Comparison

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

DeepSeek

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

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

DeepSeek

DeepSeek R1 Distill Qwen 7B

DeepSeek

2025-01-20

8 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Qwen 7B

Max Context:-
Parameters:7.6B
DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 7B

math
+7.9%
92.8%
general
66.2%
code
37.6%
DeepSeek

DeepSeek-V2.5

math
84.9%
general
+2.2%
68.4%
code
+28.5%
66.1%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 7B

0 providers
DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek R1 Distill Qwen 7B

Avg Score:0.0%
Providers:0
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3