Model Comparison

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

DeepSeek

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 AI

Mistral Small 3.1 24B Base

Mistral AI

Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

2025-03-17

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

6 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

Input:$0.27
Output:$0.41
Mistral AI

Mistral Small 3.1 24B Base

$0.28 cheaper
Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B
Mistral AI

Mistral Small 3.1 24B Base

Larger context
Max Context:256.0K
Parameters:24.0B

Average performance across 17 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+35.9%
Average Score:54.4%
Mistral AI

Mistral Small 3.1 24B Base

Average Score:18.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

general
62.1%
Mistral AI

Mistral Small 3.1 24B Base

general
+1.7%
63.8%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Mistral AI

Mistral Small 3.1 24B Base

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
DeepSeek

DeepSeek-V3.2-Exp

+35.9%
Avg Score:54.4%
Providers:2
Mistral AI

Mistral Small 3.1 24B Base

Avg Score:18.5%
Providers:1