Phi-4 Mini Instruct: Intelligence, Performance & Price Analysis
Analysis of Microsoft Azure's Phi-4 Mini 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 Mini is of lower quality compared to average, with a MMLU score of 0.465 and a Intelligence Index across evaluations of 26.
Price:Speed:Phi-4 Mini is slower compared to average, with a output speed of 31.7 tokens per second.
Latency:Phi-4 Mini has a lower latency compared to average, taking 0.37s to receive the first token (TTFT).
Context Window:Phi-4 Mini 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:
Phi-4 Mini Instruct Model Details
Comparisons to Phi-4 Mini
- Phi-4 Mini
GPT-4.1- o3
- o4-mini (high)
- o3-pro
Llama 4 Scout- Llama 4 Maverick
Gemini 2.5 Flash (Reasoning)- Gemini 2.5 Pro
Claude 4 Opus Thinking- Claude 4 Sonnet
- Claude 4 Sonnet Thinking
Magistral Small
DeepSeek R1 0528 (May '25)- DeepSeek V3 0324 (Mar '25)
Grok 3 mini Reasoning (high)
Nova Premier
MiniMax M1 80k
Llama Nemotron Ultra Reasoning
Qwen3 235B (Reasoning)- GPT-4o (Nov '24)
Further details
Sonar Pro
LFM 40B
Solar Pro 2 (Preview) (Reasoning)
DBRX Instruct
Llama 3.1 Tulu3 405B
Reka Flash (Sep '24)
Hermes 3 - Llama-3.1 70B
Aya Expanse 32B
Jamba 1.6 Large
Arctic Instruct
Yi-Large
OpenChat 3.5 (1210)