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Llama 4 Maverick vs Phi 4
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 3.4% higher average benchmark score. Llama 4 Maverick offers 2.0M more tokens in context window than Phi 4. Phi 4 is $0.56 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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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-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
3 months newer
Phi 4
Microsoft
2024-12-12
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 4
Input:$0.07
Output:$0.14($0.56 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 4 Maverick
Average Score:77.9%(+3.4%)
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Phi 4
Average Score:74.5%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:77.9%(+3.4%)
Providers:7
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Phi 4
Avg Score:74.5%
Providers:1