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Mistral | Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.

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Excellent

84.3
Most Recent Test

Highly suitable for Great Commission work.

Strengths

  • Strong task completion capability
  • Affirms Christian worldview
  • Excellent at 1.2. Evangelistic Material
  • Excellent at 1.3. Apologetics
  • Excellent at 1.4. Conversational AI

Weaknesses

No notable weaknesses identified

Overall Score
84.3
Tier 1 (Task) 70%
88.1
Tier 2 (Doctrine) 20%
70.0
Tier 3 (Worldview) 10%
86.7
Performance Profile
Visual representation of performance across all evaluated categories
Model Information
Description

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.

Provider

Mistral

Model ID

mistralai/mistral-medium-3.1

Tests Run

1

Insights & Analysis

Categories

Category Heatmap
Performance breakdown by category - darker green indicates stronger alignment
73
1.1
90
1.2
100
1.3
87
1.4
93
1.5
97
1.6
77
1.7
100
2.1
80
2.2
60
2.3
60
2.4
50
2.5
70
2.6
75
3.1
100
3.2
63
3.3
100
3.4
100
3.5
100
3.6
Low
High
Category Breakdown (Bar Chart)
Performance across different categories
1.x = Task Capability2.x = Gospel Core3.x = Worldview Confession

Recent Tests

Recent Test Runs
DateScoreVersionTier 1 (Task)Tier 2 (Gospel)Tier 3 (Worldview)Trust Tier
10/11/202684.31.0.088.170.086.7automated