Model
Model explorer
Phi-3-mini (3.8B)
OPENMicrosoft · Phi-3 family · released Apr 23, 2024
First production-grade Phi; ~GPT-3.5-class quality at 3.8B, runs on-device, shipped in a 4K-context variant (this record) and a separate 128K-context sibling, both MIT-licensed.
ReasoningCodingVisionFunction callingTool useAgentic
479.2
Elo · rank #312
Parameters
3.8B
Active params
3.8B (dense)
Context
4K tokens
Architecture
Dense decoder-only Transformer
License
MIT
Languages
—
API price (in/out)
$0.13 / $0.52
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: OLMo 3-Think 32B · 88.2%
best: Phi-3-small (7B) · 58.1%
best: Llama 3.1 405B · 96.9%
best: ERNIE 4.5 300B-A47B · 94.3%
best: GPT-5.6 · 94.6%
best: Llama 3.1 405B · 96.8%
best: Claude 3 Opus · 95.4%
best: Claude Opus 4.5 · 99.4%
best: Gemma 4 26B A4B · 98.5%
best: GPT-5 · 99.4%
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
best: Llama 3.1 70B · 77.1%
best: Claude Fable 5 · 91.5%
best: OpenAI o3 · 92.9%
best: Hunyuan-Large (A52B) · 9.4
best: Claude 1 · 90.8%
best: GPT-4o mini · 93.1%
best: Apple DCLM-Baseline 7B · 82.9%
best: Sarvam-1 (2B) · 90.6%
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
2.3 GB
VRAM @ FP16
10 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GGUF · MLX · ONNX
Phi-3 family
Elo progression across releases
API price $0.13/$0.52 · each benchmark row carries its own source badge (see methodology)