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Mistral Small 3 24B Instruct vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Instruct leads with 25.7% higher average benchmark score. Phi-3.5-mini-instruct offers 192.0K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Overall, Mistral Small 3 24B Instruct is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.01 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Mistral Small 3 24B Instruct
Average Score:70.9%(+25.7%)
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Phi-3.5-mini-instruct
Average Score:45.2%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3 24B Instruct
2 providers
DeepInfra
Throughput: 49 tok/s
Latency: 0.2ms
Mistral AI
Throughput: 134 tok/s
Latency: 0.2ms
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Mistral Small 3 24B Instruct
Avg Score:70.9%(+25.7%)
Providers:2
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Phi-3.5-mini-instruct
Avg Score:45.2%
Providers:1