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.

OpenAI

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

o3-mini

OpenAI

2025-01-30

Mistral AI

Mistral Small 3.1 24B Base

Mistral AI

2025-03-17

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Small 3.1 24B Base

$5.10 cheaper
Input:$0.10
Output:$0.30
OpenAI

o3-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Small 3.1 24B Base

Max Context:256.0K
Parameters:24.0B
OpenAI

o3-mini

Larger context
Max Context:300.0K

Average performance across 2 common benchmarks

Mistral AI

Mistral Small 3.1 24B Base

Average Score:59.3%
OpenAI

o3-mini

+22.8%
Average Score:82.0%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3.1 24B Base

general
+8.5%
63.8%
OpenAI

o3-mini

general
55.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

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
OpenAI

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Mistral AI

Mistral Small 3.1 24B Base

Avg Score:59.3%
Providers:1
OpenAI

o3-mini

+22.8%
Avg Score:82.0%
Providers:2