Model
Model explorer
Phi-3.5-MoE (16x3.8B, 6.6B active)
OPENMicrosoft · Phi-3.5 family · released Aug 20, 2024
First Phi mixture-of-experts (16 experts, 6.6B active); rivals Gemini-1.5-Flash and beats Llama-3.1 8B, MIT-licensed.
ReasoningCodingVisionFunction callingTool useAgentic
791.5
Elo · rank #254
Parameters
41.9B
Active params
6.6B (MoE)
Context
128K tokens
Architecture
Mixture-of-Experts decoder-only Transformer (16 experts, 2 active per token)
License
MIT
Languages
22+
API price (in/out)
$0.13 / $0.52
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: Llama 3.1 405B · 96.9%
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
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: GPT-5 · 99.4%
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
best: OpenAI o4-mini · 93.7%
best: Claude Fable 5 · 91.5%
best: OpenAI o3 · 92.9%
best: Gemini 3.1 Pro · 92.6%
best: Claude 1 · 90.8%
best: GPT-4o mini · 93.1%
best: Apple DCLM-Baseline 7B · 82.9%
best: this model · 77.5%
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
27 GB
VRAM @ FP16
85 GB
Fits on (Q4)
RTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GGUF Q4
Phi-3.5 family
Elo progression across releases
API price $0.13/$0.52 · each benchmark row carries its own source badge (see methodology)