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 14.
Price:Speed:Phi-4 Mini is slower compared to average, with a output speed of 54.1 tokens per second.
Latency:Phi-4 Mini has a lower latency compared to average, taking 0.33s 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
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Speed
Output Tokens per Second; Higher is better
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Price
USD per 1M Tokens; Lower is better
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Parallel Queries:
Prompt Length:
Phi-4 Mini Instruct Model Details
Comparisons to Phi-4 Mini
- Phi-4 Mini
o3- o4-mini (high)
- gpt-oss-20B (high)
- GPT-4.1
- GPT-5 (medium)
- GPT-5 (minimal)
- gpt-oss-120B (high)
- GPT-5 (high)
Llama 4 Maverick
Gemini 2.5 Pro- Gemini 2.5 Flash (Reasoning)
Claude 4 Sonnet Thinking
Magistral Small
DeepSeek R1 0528
Grok 4
Solar Pro 2 (Reasoning)
MiniMax M1 80k
Llama Nemotron Super 49B v1.5 (Reasoning)
Kimi K2
EXAONE 4.0 32B (Reasoning)
GLM-4.5
Qwen3 235B 2507 (Reasoning)
Further details
R1 1776
Nova Premier
Granite 3.3 Instruct 8B
Reka Flash 3
DeepHermes 3 - Llama-3.1 8B Preview
Aya Expanse 32B
Jamba 1.7 Large
OpenChat 3.5 (1210)
LFM 40B
DBRX Instruct
Llama 3.1 Tulu3 405B
Arctic Instruct
Yi-Large