+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral Small 3.1 24B Base vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 36.3% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $5.10 cheaper per million tokens. Overall, o4-mini is the stronger choice for coding tasks.
+
+
+
+
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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
o4-mini
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($5.10 cheaper)
+
+
+
+
o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:18.5%
+
+
+
+
o4-mini
Average Score:54.8%(+36.3%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
o4-mini
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:18.5%
Providers:1
+
+
+
+
o4-mini
Avg Score:54.8%(+36.3%)
Providers:1