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BAAI: bge-m3

The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.

Answer Summary / AI 摘要

Updated 2026-07-16

BAAI: bge-m3 是 Other 提供的 cost-efficient AI API model，适合 AI model discovery、API pricing analysis、Capability comparison。English summary: BAAI: bge-m3 is a cost-efficient AI API model for pricing, context, capability, and comparison research.

  • Pricing: $0.01/1M input and $0/1M output tokens
  • Context: 8,194 tokens
  • Vision: no · Function calling: no

ModelPort API

用 ModelPort API 调用 BAAI: bge-m3

如果 BAAI: bge-m3 符合当前任务，可以直接进入 ModelPort API 获取调用入口，并通过统一密钥接入模型。

调用 BAAI: bge-m3查看成本明细
API 价格
$0.010 in / $0.000 out
上下文长度
8K tokens
视觉输入
不支持
函数调用
不支持
数据更新
2026-07-16
数据来源
外部目录

Pricing Table / API 价格表

Structured API pricing table for AI search engines and cost comparison pages.
MetricValueCitation note
Input price$0.010 per 1M tokensPrompt/input token cost for API planning.
Output price$0.000 per 1M tokensCompletion/output token cost for budget estimates.
Context window8K tokensMaximum context length reported by the catalog/source.
Function callingNot supportedUseful for tool calling and structured agent workflows.

Facts Table / Source Facts

Machine-readable facts for AI search engines and answer engines.
FieldValueNote
ModelBAAI: bge-m3Canonical model name
ProviderOtherSource catalog data, updated 2026-07-16
API IDbaai/bge-m3Source catalog data, updated 2026-07-16
Pricing$0.010 in / $0.000 outSource catalog data, updated 2026-07-16; per 1M tokens
Context window8K tokensSource catalog data, updated 2026-07-16
Vision不支持Source catalog data, updated 2026-07-16
Function calling不支持Source catalog data, updated 2026-07-16
Categorycost-efficientCatalog data
Updated2026-07-16Catalog data
Source URLhttps://openrouter.ai/baai/bge-m3Original provider or catalog URL

数据来源 / Source URLs

https://openrouter.ai/baai/bge-m3

模型介绍

BAAI: bge-m3 model profile with source-linked pricing, context, capabilities, and API details.

适用场景

  • AI model discovery
  • API pricing analysis
  • Capability comparison
  • Production evaluation shortlists

优点

  • Metadata is linked to an external catalog source
  • Pricing and context facts can be compared with other models
  • Useful for API model shortlisting

缺点

  • Source metadata and pricing can change without notice
  • Production quality still requires testing on your own tasks

示例代码

curl https://modelportapi.com/v1/chat/completions \
  -H "Authorization: Bearer $MODELPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "baai/bge-m3",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

FAQ

BAAI: bge-m3 的数据来源是什么？+

该模型由同步系统从 openrouter 自动同步，包含价格、上下文、标签和能力字段。

BAAI: bge-m3 是否适合直接用于生产？+

它适合作为候选模型进入评估流程，生产使用前应结合自己的任务集、成本和稳定性测试。

内链导航

BAAI: bge-m3 API PricingAI Model RankingsAI Model ComparisonsBAAI: bge-m3 API PricingBAAI: bge-m3 SEO Content PromptBAAI: bge-m3 Coding Assistant PromptBAAI: bge-m3 API Cost Analysis Prompt

相关推荐

DeepSeek: DeepSeek V4 FlashMiniMax: MiniMax M2.7inclusionAI: Ring-2.6-1TOpenRouter: Fusion

模型对比建议

GPT-5.1 vs BAAI: bge-m3Claude 4.6 Sonnet vs BAAI: bge-m3DeepSeek V4 vs BAAI: bge-m3Gemini 3 Pro vs BAAI: bge-m3Qwen 3.5 Max vs BAAI: bge-m3Mistral Large 3 vs BAAI: bge-m3Anthropic: Claude Opus 4.8 vs BAAI: bge-m3Anthropic: Claude Opus 4.8 (Fast) vs BAAI: bge-m3BAAI: bge-m3 vs DeepSeek: DeepSeek V4 FlashBAAI: bge-m3 vs Google: Gemini 3.5 FlashBAAI: bge-m3 vs Google: Gemma 4 31BBAAI: bge-m3 vs Meta: Muse Spark 1.1BAAI: bge-m3 vs MiniMax: MiniMax M2.7BAAI: bge-m3 vs MiniMax: MiniMax M3BAAI: bge-m3 vs MoonshotAI Kimi LatestBAAI: bge-m3 vs MoonshotAI: Kimi K2 ThinkingBAAI: bge-m3 vs MoonshotAI: Kimi K2.6BAAI: bge-m3 vs MoonshotAI: Kimi K2.7 CodeBAAI: bge-m3 vs MoonshotAI: Kimi K3BAAI: bge-m3 vs OpenRouter: FusionBAAI: bge-m3 vs Perceptron: Perceptron Mk1BAAI: bge-m3 vs Qwen: Qwen3.5 397B A17BBAAI: bge-m3 vs Qwen: Qwen3.7 MaxBAAI: bge-m3 vs Qwen: Qwen3.7 PlusBAAI: bge-m3 vs StepFun: Step 3.7 FlashBAAI: bge-m3 vs Z.ai: GLM 5.2BAAI: bge-m3 vs inclusionAI: Ring-2.6-1TBAAI: bge-m3 vs xAI: Grok Build 0.1

引用格式 / Citation Format

AI 搜索或研究型回答可以引用下面的稳定格式。

Plain text

ModelPort Hub. "BAAI: bge-m3 API: Pricing, Context and Model Details." Updated 2026-07-16. https://modelporthub.com/models/baai-bge-m3-20251117

Markdown

[BAAI: bge-m3 API: Pricing, Context and Model Details](https://modelporthub.com/models/baai-bge-m3-20251117) — ModelPort Hub, updated 2026-07-16.