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GPT-5 mini vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 44.8% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $1.85 cheaper per million tokens. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($1.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-5 mini
Average Score:82.3%(+44.8%)
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Mistral Small 3.1 24B Base
Average Score:37.5%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:82.3%(+44.8%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:37.5%
Providers:1