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GPT-4.1 mini vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 2.7% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $1.60 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. 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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Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
4 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20($1.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 mini
Average Score:78.9%(+2.7%)
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Llama 3.3 70B Instruct
Average Score:76.2%
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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:78.9%(+2.7%)
Providers:2
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Llama 3.3 70B Instruct
Avg Score:76.2%
Providers:9