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

DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.

Phi-3.5-mini-instruct
Microsoft
2024-08-23

DeepSeek-V3.1
DeepSeek
2025-01-10
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

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

DeepSeek-V3.1

Phi-3.5-mini-instruct
Average performance across 1 common benchmarks

DeepSeek-V3.1

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

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

Phi-3.5-mini-instruct
Azure

DeepSeek-V3.1

Phi-3.5-mini-instruct