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Llama 3.2 3B Instruct vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 26.6% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $0.74 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 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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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.
6 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.74 cheaper)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 3B Instruct
Average Score:50.6%
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Llama 4 Maverick
Average Score:77.2%(+26.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Llama 4 Maverick
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Llama 3.2 3B Instruct
Avg Score:50.6%
Providers:1
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Llama 4 Maverick
Avg Score:77.2%(+26.6%)
Providers:7