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m3e-base

moka-ai

- Moka，此模型由 MokaAI 训练，开源和评测，训练脚本使用 uniem ，评测 BenchMark 使用 MTEB-zh - Massive，此模型通过**千万级** (2200w+) 的中文句对数据集进行训练 - Mixed，此模型支持中英双语的同质文本相似度计算，异质文本检索等功能，未来还会支持代码检索 - Embedding，此模型是文本嵌入模型，可以将自然语言转换成稠密的向量 - 2023.06.24，添加微调 M3E 的教程 notebook，几行代码，更佳适配！ - 2023.06.14，添加了三个中文开源文本嵌入模型到评测中，包括 UER, ErLangShen, DMetaSoul - 2023.06.08，添加检索任务的评测结果，在 T2Ranking 1W 中文数据集上，m3e-base 在 ndcg@10 上达到了 0.8004，超过了 openai-ada-002 的 0.7786 - 2023.06.07，添加文本分类任务的评测结果，在 6 种文本分类数据集上，m3e-base 在 accuracy 上达到了 0.6157，超过了 openai-ada-002 的 0.5956

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m3e-large

moka-ai

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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m3e-small

moka-ai

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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COST EXPLORER

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

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Selection guide & FAQ

How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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Explore AI models 3

m3e-base

m3e-large

m3e-small

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