Microsoft model product
8B-parameter model that supports up to 128K context tokens, with improved multilingual capabilities across over 20 languages.
Updated Aug 12, 2026. Default version: Phi-3.5-mini-instruct
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Phi-3.5-mini-instruct.
| Qasper | 41.9% | 01 | 2 | 100.0% | C | |
| QMSum | 21.3% | 01 | 2 | 100.0% | C | |
| SQuALITY | 24.3% | 01 | 5 | 100.0% | C | |
| GovReport | 25.9% | 02 | 2 | 0.0% | C | |
| MEGA MLQA | 61.7% | 02 | 2 | 0.0% | C | |
| MEGA TyDi QA | 62.2% | 02 | 2 | 0.0% | C | |
| MEGA UDPOS | 46.5% | 02 | 2 | 0.0% | C | |
| MEGA XCOPA | 63.1% | 02 | 2 | 0.0% | C | |
| MEGA XStoryCloze | 73.5% | 02 | 2 | 0.0% | C | |
| OpenBookQA | 79.2% | 02 | 5 | 75.0% | C | |
| RepoQA | 77.0% | 02 | 2 | 0.0% | C | |
| Social IQa | 74.7% | 02 | 9 | 87.5% | C | |
| SummScreenFD | 16.0% | 02 | 2 | 0.0% | C | |
| RULER | 84.1% | 04 | 4 | 0.0% | C | |
| TruthfulQA | 64.0% | 05 | 18 | 76.5% | C | |
| PIQA | 81.0% | 07 | 11 | 40.0% | C | |
| BoolQ | 78.0% | 08 | 10 | 22.2% | C | |
| ARC-C | 84.6% | 14 | 34 | 60.6% | C | |
| BIG-Bench Hard | 69.0% | 15 | 21 | 30.0% | C | |
| Winogrande | 68.5% | 18 | 22 | 19.1% | C | |
| Arena Hard | 37.0% | 23 | 26 | 12.0% | C | |
| MBPP | 69.6% | 23 | 33 | 31.3% | C | |
| HellaSwag | 69.4% | 25 | 27 | 7.7% | C | |
| MGSM | 47.9% | 31 | 31 | 0.0% | C | |
| GSM8k | 86.2% | 35 | 48 | 27.7% | C | |
| MMMLU | 55.4% | 48 | 49 | 2.1% | C | |
| MATH | 48.5% | 57 | 71 | 20.0% | C | |
| HumanEval | 62.8% | 62 | 66 | 6.2% | C | |
| MMLU | 69.0% | 87 | 100 | 13.1% | C | |
| MMLU-Pro | 47.4% | 117 | 129 | 9.4% | C | |
| GPQA | 30.4% | 225 | 234 | 3.9% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Provider-specific output speed and catalog latency for Phi-3.5-mini-instruct. Runtime does not affect the capability score.
| Azure | 23 tok/s | 0.52 s | 128K | 128K |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| Phi-3.5-mini-instruct | 0.0 | 3.8B | 128K | 128K | No | MIT |
Key information about Phi 3.5 mini and its available data.
8B-parameter model that supports up to 128K context tokens, with improved multilingual capabilities across over 20 languages. It underwent additional training and safety post-training to enhance instruction-following, reasoning, math, and code generation.
Ideal for environments with memory or latency constraints, it uses an MIT license.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Common questions about Phi 3.5 mini.
Phi 3.5 mini's default version was released on Aug 23, 2024.
No official standard PAYG price is currently available for Phi 3.5 mini.
Phi 3.5 mini was created by Microsoft.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include Llama 3.2 11B, Jamba 1.5 Mini, GPT-3.5-Turbo.