Phi-4 Multimodal Instruct: Intelligence, Performance & Price Analysis
Analysis of Microsoft Azure's Phi-4 Multimodal Instruct and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more. Click on any model to compare API providers for that model. For more details including relating to our methodology, see our FAQs.
Comparison Summary
Intelligence:
Phi-4 Multimodal is of lower quality compared to average, with a MMLU score of 0.485 and a Intelligence Index across evaluations of 23.
Price:Speed:Phi-4 Multimodal is slower compared to average, with a output speed of 25.6 tokens per second.
Latency:Phi-4 Multimodal has a lower latency compared to average, taking 0.39s to receive the first token (TTFT).
Context Window:Phi-4 Multimodal has a smaller context windows than average, with a context window of 130k tokens.
Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Comparisons to Phi-4 Multimodal
o1- GPT-4o (Nov '24)
- GPT-4o mini
- o3-mini (high)
- GPT-4.5 (Preview)
Llama 3.3 Instruct 70B- Llama 3.1 Instruct 405B
- Llama 3.1 Instruct 8B
Gemini 2.0 Pro Experimental (Feb '25)- Gemini 2.0 Flash (Feb '25)
Claude 3.5 Haiku- Claude 3.7 Sonnet (Extended Thinking)
- Claude 3.7 Sonnet (Standard)
Mistral Large 2 (Nov '24)- Mistral Small 3
DeepSeek R1- DeepSeek V3
Grok 3- Grok 3 Reasoning Beta
Nova Pro
MiniMax-Text-01
QwQ 32B
Further details
Sonar
Solar Mini
DBRX Instruct
Llama 3.1 Nemotron Instruct 70B
Llama 3.1 Tulu3 405B
Reka Flash (Sep '24)
Command-R+ (Aug '24)
Jamba 1.5 Large
Yi-Large
OpenChat 3.5 (1210)