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Llama 4 Maverick vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 25.7% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $0.57 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.57 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Llama 4 Maverick
Average Score:77.8%(+25.7%)
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Phi-3.5-mini-instruct
Average Score:52.1%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
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Llama 4 Maverick
Avg Score:77.8%(+25.7%)
Providers:7
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Phi-3.5-mini-instruct
Avg Score:52.1%
Providers:1