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Llama 3.3 70B Instruct vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 5.8% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. 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 Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
3 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Llama 3.3 70B Instruct
Meta
2024-12-06
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Llama 3.3 70B Instruct
Average Score:39.9%(+5.8%)
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Phi-3.5-vision-instruct
Average Score:34.1%
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:39.9%(+5.8%)
Providers:9
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Phi-3.5-vision-instruct
Avg Score:34.1%
Providers:0