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 24B Instruct

Mistral AI

Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model shows particular specialization in code tasks with an average performance of 83.9%. 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 Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

8 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 24B Instruct

$0.47 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Larger context
Max Context:229.4K
Parameters:685.0B
Mistral AI

Mistral Small 3 24B Instruct

Max Context:64.0K
Parameters:24.0B

Average performance across 20 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+17.6%
Average Score:46.3%
Mistral AI

Mistral Small 3 24B Instruct

Average Score:28.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+15.9%
86.5%
code
64.3%
general
62.1%
Mistral AI

Mistral Small 3 24B Instruct

math
70.6%
code
+19.6%
83.9%
general
+0.8%
62.9%
Knowledge Cutoff
Training data recency comparison

Mistral Small 3 24B Instruct

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

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 24B Instruct

2 providers

DeepInfra

Throughput: 49 tok/s
Latency: 0.2ms

Mistral AI

Throughput: 134 tok/s
Latency: 0.2ms
DeepSeek

DeepSeek-V3.2-Exp

+17.6%
Avg Score:46.3%
Providers:2
Mistral AI

Mistral Small 3 24B Instruct

Avg Score:28.7%
Providers:2