Model Comparison

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

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). 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

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

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

2 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Magistral Medium

Max Context:-
Parameters:24.0B
Mistral AI

Mistral Small 3.1 24B Base

Larger context
Max Context:256.0K
Parameters:24.0B

Average performance across 1 common benchmarks

Mistral AI

Magistral Medium

+33.3%
Average Score:70.8%
Mistral AI

Mistral Small 3.1 24B Base

Average Score:37.5%

Performance comparison across key benchmark categories

Mistral AI

Magistral Medium

general
53.1%
Mistral AI

Mistral Small 3.1 24B Base

general
+10.7%
63.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Magistral Medium

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Magistral Medium

0 providers
Mistral AI

Mistral Small 3.1 24B Base

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Mistral AI

Magistral Medium

+33.3%
Avg Score:70.8%
Providers:0
Mistral AI

Mistral Small 3.1 24B Base

Avg Score:37.5%
Providers:1