Model Comparison

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

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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-V3.2-Exp

DeepSeek

2025-09-29

1 year newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-V3.2-Exp

$0.12 cheaper

Input:$0.27

Output:$0.41

Mistral Small

Input:$0.20

Output:$0.60

Performance Metrics

Context window and performance specifications

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

Mistral Small

Max Context:65.5K

Parameters:22.0B

Average performance across 14 common benchmarks

DeepSeek-V3.2-Exp

+66.1%

Average Score:66.1%

Mistral Small

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

DeepSeek-V3.2-Exp

+66.1%

Avg Score:66.1%

Providers:2

Mistral Small

Avg Score:0.0%

Providers:1