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Mistral Small 3.1 24B Base vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 23.2% higher average benchmark score. o1 offers 44.0K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $74.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
3 months newer
o1
OpenAI
2024-12-17
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($74.60 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:59.3%
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o1
Average Score:82.5%(+23.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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o1
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1
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o1
Avg Score:82.5%(+23.2%)
Providers:2