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

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.

Phi-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

DeepSeek-V2.5
DeepSeek
2024-05-08

Phi-3.5-mini-instruct
Microsoft
2024-08-23
3 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V2.5

Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Phi-3.5-mini-instruct
Average performance across 5 common benchmarks

DeepSeek-V2.5

Phi-3.5-mini-instruct
Performance comparison across key benchmark categories

DeepSeek-V2.5

Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Phi-3.5-mini-instruct
Azure

DeepSeek-V2.5

Phi-3.5-mini-instruct