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.

Mistral Small

Mistral AI

Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral Small

Mistral AI

2024-09-17

DeepSeek-V3.1

DeepSeek

2025-01-10

3 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-V3.1

Input:$0.27

Output:$1.00

Mistral Small

$0.47 cheaper

Input:$0.20

Output:$0.60

Performance Metrics

Context window and performance specifications

DeepSeek-V3.1

Larger context

Max Context:327.7K

Parameters:671.0B

Mistral Small

Max Context:65.5K

Parameters:22.0B

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.1

2 providers

DeepInfra

Novita

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

DeepSeek-V3.1

Avg Score:0.0%

Providers:2

Mistral Small

Avg Score:0.0%

Providers:1