Phi-3 Small
Compact
7B Phi-3. The middle of the Phi-3 lineup; superseded by Phi-3.5 for new self-hosted work.
Phi-3 Small is a efficient AI model from Microsoft. It costs $0.150 per million input tokens and $0.600 per million output tokens (blended $0.285/M), with a 128,000-token context window.
INPUT
$0.150/M
per million input tokens
OUTPUT
$0.600/M
per million output tokens
CONTEXT
128,000
tokens
What it is good at
- Single-GPU
- Open weights (MIT)
- 128K context
Typical use cases
- Legacy Phi-3 small deployments
Benchmarks
vs. best public score
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
More from Microsoft
See all 8 →Phi-4
Frontier SLM · 16,000 ctx
in $0.070/Mout $0.280/M
Phi-4 Mini
Tiny · 128,000 ctx
in $0.040/Mout $0.160/M
Phi-3.5 Mini
Compact · 128,000 ctx
in $0.130/Mout $0.520/M
Phi-3.5 MoE
MoE · 128,000 ctx
in $0.160/Mout $0.640/M
Phi-3 Medium
Balanced · 128,000 ctx
in $0.170/Mout $0.680/M
Phi-3 Mini
Tiny · 128,000 ctx
in $0.130/Mout $0.520/M
Frequently asked questions
How much does Phi-3 Small cost?
Phi-3 Small costs $0.150 per million input tokens and $0.600 per million output tokens, for a blended reference rate of $0.285 per million tokens.
What is Phi-3 Small's context window?
Phi-3 Small supports up to 128,000 tokens of context in a single request.
What is Phi-3 Small best for?
Phi-3 Small is well suited to Single-GPU, Open weights (MIT) and 128K context.
Who makes Phi-3 Small?
Phi-3 Small is developed and served by Microsoft. It was released in Apr 2024.