Model Comparison

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

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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

2025-03-17

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Small 3.1 24B Base

Input:$0.10
Output:$0.30
Microsoft

Phi-3.5-mini-instruct

$0.20 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Small 3.1 24B Base

Max Context:256.0K
Parameters:24.0B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 3 common benchmarks

Mistral AI

Mistral Small 3.1 24B Base

+9.2%
Average Score:58.2%
Microsoft

Phi-3.5-mini-instruct

Average Score:48.9%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3.1 24B Base

general
+8.4%
63.8%
Microsoft

Phi-3.5-mini-instruct

general
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Mistral Small 3.1 24B Base

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Mistral AI

Mistral Small 3.1 24B Base

+9.2%
Avg Score:58.2%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:48.9%
Providers:1