+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 70B vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 40.9% higher average benchmark score. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 2025, it represents Microsoft's latest advancement in AI technology.
12 days newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek R1 Distill Llama 70B
Input:$0.10
Output:$0.40
+
+
+
+
Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
+
+
+
+
DeepSeek R1 Distill Llama 70B
Average Score:16.0%
+
+
+
+
Phi-4-multimodal-instruct
Average Score:56.9%(+40.9%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Phi-4-multimodal-instruct
+
+
+
+
DeepSeek R1 Distill Llama 70B
Avg Score:16.0%
Providers:1
+
+
+
+
Phi-4-multimodal-instruct
Avg Score:56.9%(+40.9%)
Providers:1