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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K 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 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral NeMo Instruct
Mistral AI
2024-07-18

DeepSeek-R1
DeepSeek
2025-01-20
6 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-R1

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Mistral NeMo Instruct
Average performance across 1 common benchmarks

DeepSeek-R1

Mistral NeMo Instruct
Performance comparison across key benchmark categories

DeepSeek-R1

Mistral NeMo Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Mistral NeMo Instruct
Mistral AI

DeepSeek-R1

Mistral NeMo Instruct