Phi-3 Mini Instruct 3.8B: Intelligence, Performance & Price Analysis
Analysis of Microsoft Azure's Phi-3 Mini Instruct 3.8B 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-3 Mini is of lower quality compared to average, with a MMLU score of 0.435 and a Intelligence Index across evaluations of 10.
Price:Speed:Latency:Context Window:Phi-3 Mini has a smaller context windows than average, with a context window of 4.1k tokens.
Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Loading chart...
Speed
Output Tokens per Second; Higher is better
Loading chart...
Price
USD per 1M Tokens; Lower is better
Loading chart...
Parallel Queries:
Prompt Length:
Note: Long prompts not supported as a context window of at least 10k tokens is required
Phi-3 Mini Instruct 3.8B Model Details
Comparisons to Phi-3 Mini
- Phi-3 Mini
gpt-oss-120B (high)- o3-pro
- gpt-oss-20B (high)
- o4-mini (high)
- GPT-4.1
- o3
Llama 4 Maverick
Gemini 2.5 Pro- Gemini 2.5 Flash (Reasoning)
Claude 4 Sonnet Thinking
Magistral Small
DeepSeek R1 0528
Grok 4
Nova Premier
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
Granite 3.3 Instruct 8B
Reka Flash 3
DeepHermes 3 - Mistral 24B 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