Model Comparison

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

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-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

DeepSeek

DeepSeek-V3 0324

DeepSeek

2025-03-25

10 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
DeepSeek

DeepSeek-V3 0324

Max Context:-
Parameters:671.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
84.9%
general
68.4%
code
+16.9%
66.1%
DeepSeek

DeepSeek-V3 0324

math
+9.1%
94.0%
general
+1.3%
69.7%
code
49.2%

Provider Availability & Performance

Available providers and their performance metrics

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-V3 0324

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
DeepSeek

DeepSeek-V3 0324

Avg Score:0.0%
Providers:0