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GPT-4.1 mini vs Mistral Small
Comprehensive side-by-side LLM comparison
GPT-4.1 mini offers 1.0M more tokens in context window than Mistral Small. Mistral Small is $1.20 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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Mistral AI
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
6 months newer
Mistral Small
Mistral AI
2024-09-17
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
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Mistral Small
Input:$0.20
Output:$0.60($1.20 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:0.0%
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1