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Mistral Small 3.1 24B Base vs Phi 4 Reasoning Plus
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning Plus leads with 25.7% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Phi 4 Reasoning Plus 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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Microsoft
Phi-4 Reasoning Plus was created as an enhanced reasoning variant, designed to provide even deeper analytical capabilities within the Phi-4 family. Built to maximize reasoning quality while maintaining the efficiency benefits of small models, it represents the most capable reasoning-focused option in the Phi-4 series.
1 month newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Phi 4 Reasoning Plus
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Mistral Small 3.1 24B Base
Average Score:46.8%
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Phi 4 Reasoning Plus
Average Score:72.4%(+25.7%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning Plus
2025-03-01
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 3.1 24B Base
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Phi 4 Reasoning Plus
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1
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Phi 4 Reasoning Plus
Avg Score:72.4%(+25.7%)
Providers:0