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Model Comparison

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

DeepSeek

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 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.

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

Mistral AI

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

20 days newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

Input:$0.27
Output:$1.00
Mistral AI

Mistral Small 3 24B Instruct

$1.06 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B
Mistral AI

Mistral Small 3 24B Instruct

Max Context:64.0K
Parameters:24.0B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek-V3.1

+17.4%
Average Score:83.7%
Mistral AI

Mistral Small 3 24B Instruct

Average Score:66.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

code
56.5%
math
41.6%
general
57.3%
Mistral AI

Mistral Small 3 24B Instruct

code
+27.4%
83.9%
math
+28.9%
70.6%
general
+5.6%
62.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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-V3.1

2 providers

DeepInfra

Novita

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-V3.1

+17.4%
Avg Score:83.7%
Providers:2
Mistral AI

Mistral Small 3 24B Instruct

Avg Score:66.3%
Providers:2