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

Pixtral-12B

Mistral AI

Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). The model shows particular specialization in general tasks with an average performance of 75.5%. It supports a 136K 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 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral-12B

Mistral AI

2024-09-17

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

1 year newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.2-Exp

Input:$0.27
Output:$0.41
Mistral AI

Pixtral-12B

$0.38 cheaper
Input:$0.15
Output:$0.15

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

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

Pixtral-12B

Max Context:136.2K
Parameters:12.4B

Average performance across 26 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+4.7%
Average Score:35.6%
Mistral AI

Pixtral-12B

Average Score:30.9%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+33.4%
86.5%
general
62.1%
code
+2.3%
64.3%
Mistral AI

Pixtral-12B

math
53.0%
general
+13.4%
75.5%
code
62.0%

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

Pixtral-12B

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-V3.2-Exp

+4.7%
Avg Score:35.6%
Providers:2
Mistral AI

Pixtral-12B

Avg Score:30.9%
Providers:1