Text / LLM / Model

Phi-3.5 (mini / MoE)

Organisation
Microsoft
Family
Phi · version 3.5
Released
2024-08-16 (HF repo creation of microsoft/Phi-3.5-mini-instruct (2024-08-16); cards state 'Release date: August 2024')
Training cutoff
2023-10-01
Evidence
“This is a static model trained on an offline dataset with cutoff date October 2023 for publicly available data.”
huggingface.co · model card · Status · retrieved 2026-10-15
Checkpoints
microsoft/Phi-3.5-mini-instruct, microsoft/Phi-3.5-MoE-instruct
Weights
Open · MIT
Links

Training data disclosure: Vague

Level determined for 13% of benchmark cells.

“Phi-3.5-MoE is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available documents - with a focus on very high-quality, reasoning dense data.”
huggingface.co · model card · Model Summary · retrieved 2026-10-15

Other declared training data

Benchmark cells

Classic LLM benchmarks

Unknown MMLU (Measuring Massive Multitask Language Understanding) · training data not disclosed in enough detail

Unknown GSM8K (Grade School Math 8K) · training data not disclosed in enough detail

Unknown MATH (Mathematics Aptitude Test of Heuristics) · training data not disclosed in enough detail

Unknown HumanEval · training data not disclosed in enough detail

Unknown ARC-Challenge (AI2 Reasoning Challenge, Challenge Set) · training data not disclosed in enough detail

Unknown HellaSwag · training data not disclosed in enough detail

Unknown TruthfulQA · training data not disclosed in enough detail

Unknown WinoGrande · training data not disclosed in enough detail

Recent LLM benchmarks

Unknown GPQA Diamond · training data not disclosed in enough detail

Unknown MMLU-Pro · training data not disclosed in enough detail

Unknown LiveCodeBench (code generation, release_v6) · training data not disclosed in enough detail

Unknown SWE-bench Verified · training data not disclosed in enough detail

Not seen AIME 2024 · its test items were published from 2024-01-31, after the model's stated training-data cutoff (2023-10-01)

Evidence (4)
“This is a static model trained on an offline dataset with cutoff date October 2023 for publicly available data.”
huggingface.co · model card · Status · retrieved 2026-10-15
“2024 AIME I problems and solutions. The test was held on Wednesday, January 31 – Thursday, February 1, 2024.”
web.archive.org · website · retrieved 2026-10-15
“AIME I (main AIME competition date): Thursday, Feb. 1, 2024 between 1:30 pm ET and 5:30 pm ET.”
web.archive.org · website · retrieved 2026-10-15
“AIME II (alternate AIME competition date): Wednesday, Feb. 7, 2024 between 1:30 pm ET and 5:30 pm ET.”
web.archive.org · website · retrieved 2026-10-15

Not seen AIME 2025 · its test items were published from 2025-02-06, after the model's stated training-data cutoff (2023-10-01)

Evidence (3)
“This is a static model trained on an offline dataset with cutoff date October 2023 for publicly available data.”
huggingface.co · model card · Status · retrieved 2026-10-15
“2025 AIME I problems and solutions. The test was held on Thursday, February 6, 2025.”
web.archive.org · website · retrieved 2026-10-15
“This year the AIME I will take place on February 6, 2025, while the alternate AIME II will take place on February 12, 2025.”
maa.org · website · retrieved 2026-10-15

Unknown MATH-500 · training data not disclosed in enough detail

Notes

Phi-3.5-mini: 3.4T tokens; Phi-3.5-MoE: 4.9T tokens (incl. 10% multilingual). Post-training: SFT, PPO, DPO (MoE card). Phi-3.5-vision not covered.

Sources