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Llama 3.3 70B Instruct vs Phi 4
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 5.2% higher average benchmark score. Llama 3.3 70B Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct is the stronger choice for coding tasks.
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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.
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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.
6 days newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20
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Phi 4
Input:$0.07
Output:$0.14($0.19 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Llama 3.3 70B Instruct
Average Score:79.1%(+5.2%)
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Phi 4
Average Score:74.0%
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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 3.3 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2220 tok/s
Latency: 0.65ms
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
Fireworks
Throughput: 197 tok/s
Latency: 0.65ms
Groq
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Llama 3.3 70B Instruct
Avg Score:79.1%(+5.2%)
Providers:9
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Phi 4
Avg Score:74.0%
Providers:1