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.

Devstral Medium
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

DeepSeek-V3.1
DeepSeek
2025-01-10

Devstral Medium
Mistral AI
2025-07-10
6 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

Devstral Medium
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

Devstral Medium
Average performance across 1 common benchmarks

DeepSeek-V3.1

Devstral Medium
Performance comparison across key benchmark categories

DeepSeek-V3.1

Devstral Medium
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

Devstral Medium
Mistral AI

DeepSeek-V3.1

Devstral Medium