Model

Phi-3.5-mini-instruct

Microsoft
开源 MIT

Phi-3.5-mini-instruct is a 3.8B-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.

发布日期2024年8月23日
参数规模3.8B
上下文长度128K
许可证MIT
知识截止

Benchmarks

评测成绩

评测基准 类别 分数 来源
GSM8k math reasoning 86.2 来源
ARC-C reasoning general 84.6 来源
RULER long_context reasoning 84.1 来源
PIQA reasoning physics general 81.0 来源
OpenBookQA reasoning general 79.2 来源
BoolQ language reasoning 78.0 来源
RepoQA long_context reasoning code 77.0 来源
Social IQa reasoning psychology 74.7 来源
MEGA XStoryCloze reasoning language 73.5 来源
MBPP reasoning general 69.6 来源
HellaSwag reasoning 69.4 来源
BIG-Bench Hard reasoning math language 69.0 来源
MMLU general reasoning language math 69.0 来源
Winogrande reasoning language 68.5 来源
TruthfulQA general reasoning legal healthcare finance 64.0 来源
MEGA XCOPA reasoning language 63.1 来源
HumanEval reasoning code 62.8 来源
MEGA TyDi QA language reasoning 62.2 来源
MEGA MLQA language reasoning 61.7 来源
MMMLU language reasoning math general 55.4 来源
MATH math reasoning 48.5 来源
MGSM math reasoning 47.9 来源
MMLU-Pro language reasoning math general 47.4 来源
MEGA UDPOS language 46.5 来源
Qasper reasoning long_context 41.9 来源
Arena Hard general reasoning creativity 37.0 来源
GPQA reasoning general 30.4 来源
GovReport summarization long_context 25.9 来源
SQuALITY summarization long_context language 24.3 来源
QMSum summarization long_context 21.3 来源
SummScreenFD summarization long_context 16.0 来源

Pricing

API 价格对比

服务商 输入价 输出价 上下文 吞吐(tok/s) 延迟(s) 函数调用 代码执行 联网搜索
Azure $0.13 $0.52 128K
Azure Cognitive Services $0.13 $0.52 128K

价格单位:美元/百万 token,数据来自社区整理,仅供参考。