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GPT-4.1 mini vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 19.5% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $1.70 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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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 Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
9 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
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 NeMo Instruct
Input:$0.15
Output:$0.15($1.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 mini
Average Score:87.5%(+19.5%)
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Mistral NeMo Instruct
Average Score:68.0%
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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:87.5%(+19.5%)
Providers:2
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2