AI 模型情报

能力 · 2026-11-12

开放权重的 AI 模型

对比在许可下公开训练权重的 AI 模型 —— 适合自托管、私域微调和受监管环境。

这是什么?

  • 开放权重模型在许可(常见 Apache 2.0、MIT 或自定义开放研究许可)下发布可下载的权重。
  • 注意:开放权重 ≠ 开源 —— 训练数据与代码通常并不公开。

为什么重要

  • 可在自有 GPU 上自托管、用私域数据微调、离线运行,或部署到受监管环境。
  • 本页价格反映最便宜的 API 托管价;若自建硬件,同一模型也可零 API 成本运行。

931 个模型支持此能力

模型厂商输入 / 1M输出 / 1M上下文服务商
Qwen3.8 27BAlibaba (Qwen)$0.001$0.0011.05M51
Ambient Smallambient$0.001$0.001101K1
Whisper Large v3OpenAI$0.002$0.0024483
Voxtral Mini 3Bprivatemode-ai$0.005Unknown32K1
Multi-QA-mpnet-base-dot-v1digitalocean$0.009Unknown5121
All-MiniLM-L6-v2digitalocean$0.009Unknown2561
Qwen3 Embedding 8BAlibaba (Qwen)$0.010Unknown33K8
Qwen3 Embedding 4BAlibaba (Qwen)$0.010Unknown33K4
BGE Reranker V2 M3novita-ai$0.010Unknown8K1
BGE M3novita-ai$0.010Unknown8K1
BGE Reranker v2 M3digitalocean$0.010Unknown8K1
Nomic Embed Text v1.5tinfoil$0.016Unknown8K1
Whisper large-v3privatemode-ai$0.016Unknown4481
Llama 3.2 1B InstructMeta$0.010$0.01060K6
Qwen3 Embedding 0.6BAlibaba (Qwen)$0.010$0.01033K3
Prompt Guard 2 86MMeta$0.010$0.0105123
Llama Prompt Guard 2 22MMeta$0.010$0.0105123
E5 Large v2digitalocean$0.020Unknown5121
BGE M3digitalocean$0.020Unknown8K1
GLiNER 2.5 Basepioneer$0.030Unknown4K1
GLiNER2 Multi Largepioneer$0.030Unknown8K1
GLiNER-2.5-Decidepioneer$0.030Unknown8K1
GLiNER2 Basepioneer$0.030Unknown2K1
GLiNER2 Privacy Filter PII (Multi)pioneer$0.030Unknown8K1
GLiNER2 Largepioneer$0.030Unknown8K1
GLiNER2 Multipioneer$0.030Unknown8K1
GLiNER 2.5 Multipioneer$0.030Unknown4K1
Llama 3.2 3B InstructMeta$0.020$0.020131K7
PaddleOCR VLnovita-ai$0.020$0.02016K1
Gemma 4 26B A4B ITGoogle$0.010$0.031262K23
Llama-3.1-8B-InstructMeta$0.020$0.030131K14
Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030128K1
Mistral NemoMistral$0.029$0.030131K6
DeepSeek OCR 2DeepSeek$0.030$0.0308K3
Mistral NemoMistral$0.020$0.04016K3
Ling 3.0 Tinyopenrouter$0.015$0.045262K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Ministral 3Bazure$0.040$0.040128K1
Ling 3.0 Flashvercel$0.021$0.063256K1
Ling 3.0 Flashopenrouter$0.021$0.063262K1
Gemma 3 4B ITGoogle$0.040$0.050131K11
Llama 3 8B LunarisMeta$0.040$0.0508K3
GTE Large (v1.5)digitalocean$0.090Unknown8K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.060262K21
Qwen2.5 7B Instruct (Deep Infra)Alibaba (Qwen)$0.050$0.05033K3
gpt-oss-20bOpenAI$0.018$0.090131K32
Llama-3.2-11B-Vision-Instruct (Deep Infra)Meta$0.055$0.055131K4
Llama-Guard-3-8B (Cloudflare)Meta$0.055$0.055131K3
Qwen3.5 4BAlibaba (Qwen)$0.040$0.070262K5
Nex N2.5 Mininano-gpt$0.025$0.100262K1
Nex-N2.5-Miniopenrouter$0.025$0.100262K1
Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112131K1
Mistral Small 3Mistral$0.050$0.08033K6
Llama 3.1 8BMeta$0.050$0.080131K2
DeepSeek V4 Flash 0731DeepSeek$0.045$0.0901.05M54
Baichuan M2 32Bnovita-ai$0.070$0.070131K1
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.025$0.120262K5
DeepSeek-V4.1-FlashDeepSeek$0.030$0.1201M72
DeepSeek V4.1 Flash 1017DeepSeek$0.030$0.1201.05M60
LFM2-24B-A2Btogetherai$0.030$0.12033K1

显示前 60 / 共 931 项。 用 完整目录 进一步筛选。

Frequently asked questions

How many AI models support 开放权重?

931 canonical models in our database currently support 开放权重. The list is regenerated on every data refresh, so it always reflects the latest releases tracked in our catalogue.

What is the cheapest model with 开放权重?

Qwen3.8 27B from Alibaba (Qwen) is currently the lowest-priced option, at $0.001 per 1M input tokens and $0.001 per 1M output tokens. The full table above is sorted price-ascending.

Which model with 开放权重 has the largest context window?

Llama 4 Scout 17B Instruct (US) (Meta) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside 开放权重.

Which models are available on the most providers?

Production-readiness usually correlates with how many independent providers host the same weights. The top three by provider count are: GLM-5.3-Flash (92), GLM-5.3 (92), GLM-5.2 (90).

How is 开放权重 different from a regular LLM?

Open-weight models publish their trained weights publicly. You can self-host on your own GPUs, fine-tune on private data or run offline. Note: open weights ≠ open source — training data and code are usually not released.

How often is this list updated?

Daily. Our data pipeline syncs once a day, regenerates the canonical model list, and rebuilds these pages so newly released models appear within 24 hours.

最近更新:

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.