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Grok-3 Mini vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Grok-3 Mini leads with 46.5% higher average benchmark score. Mistral Small 3.1 24B Base offers 120.0K more tokens in context window than Grok-3 Mini. Both models have similar pricing. Overall, Grok-3 Mini is the stronger choice for coding tasks.
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xAI
Grok 3 Mini was developed as an efficient version of Grok 3, designed to bring next-generation capabilities to resource-conscious deployments. Built to provide strong performance with practical efficiency, it extends Grok 3's innovations to broader application scenarios.
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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.
28 days newer
Grok-3 Mini
xAI
2025-02-17
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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Grok-3 Mini
Input:$0.30
Output:$0.50
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Grok-3 Mini
Average Score:84.0%(+46.5%)
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Mistral Small 3.1 24B Base
Average Score:37.5%
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Knowledge Cutoff
Training data recency comparison
Grok-3 Mini
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-3 Mini
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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Mistral Small 3.1 24B Base
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Grok-3 Mini
Avg Score:84.0%(+46.5%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1