AI 模型情報

能力 · 2026-06-29

開放權重的 AI 模型

對比在授權下公開訓練權重的 AI 模型 —— 適合自託管、私域微調和受監管環境。

這是什麼?

  • 開放權重模型在授權(常見 Apache 2.0、MIT 或自訂開放研究授權)下發布可下載的權重。
  • 注意:開放權重 ≠ 開源 —— 訓練資料與程式碼通常並不公開。

為什麼重要

  • 可在自有 GPU 上自託管、用私域資料微調、離線運行,或部署到受監管環境。
  • 本頁價格反映最便宜的 API 託管價;若自建硬體,同一模型也可零 API 成本運行。

487 個模型支援此能力

模型廠商輸入 / 1M輸出 / 1M上下文服務商
Whisper Large v3scaleway$0.003UnknownUnknown1
Voxtral Small 24B 2507Mistral$0.002$0.00232K4
Whisper Large v3OpenAI$0.002$0.0024483
KB Whisperevroc$0.002$0.0024481
All-MiniLM-L6-v2digitalocean$0.009Unknown2561
Multi-QA-mpnet-base-dot-v1digitalocean$0.009Unknown5121
BGE Reranker v2 M3digitalocean$0.010Unknown8K1
Llama 3.2 1B InstructMeta$0.010$0.01060K6
llama-3.1-nemotron-safety-guard-8b-v3NVIDIA$0.010$0.010128K2
Prompt Guard 2 86MMeta$0.010$0.0105122
Llama Prompt Guard 2 22MMeta$0.010$0.0105122
E5 Large v2digitalocean$0.020Unknown5121
BGE M3digitalocean$0.020Unknown8K1
Llama 3.2 3B InstructMeta$0.020$0.02080K9
PaddleOCR-VLnovita-ai$0.020$0.02016K1
Meta-Llama-3.1-8B-InstructMeta$0.020$0.030128K20
Nomic Embed Text v1.5tinfoil$0.050Unknown8K1
Mistral NemoMistral$0.020$0.040128K6
Gemma 3n 4BGoogle$0.020$0.04033K4
Meta-Llama-3-8B-InstructMeta$0.030$0.0408K9
Llama Guard 3 8BMeta$0.020$0.060131K3
Ministral 3B (latest)Mistral$0.040$0.040128K1
Stable Diffusion 3.5 Largedigitalocean$0.080Unknown2561
Ministral 3Bazure$0.040$0.040128K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Llama 3 8B LunarisMeta$0.040$0.0508K2
GTE Large (v1.5)digitalocean$0.090Unknown8K1
Llama-3.2-11B-Vision-InstructMeta$0.049$0.049128K9
L3 8B Stheno V3.2novita-ai$0.050$0.0508K1
Sao10k L3 8B Lunaris novita-ai$0.050$0.0508K1
MythoMax 13Bkilo$0.060$0.0604K1
MythoMax 13Bopenrouter$0.060$0.0604K1
Sarvam 30Bfastrouter$0.020$0.100128K1
IBM: Granite 4.0 Microkilo$0.017$0.110131K1
Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112131K1
Granite 4.0 Microopenrouter$0.017$0.112131K1
Llama 3.1 8BMeta$0.050$0.080131K2
Google Gemma 3 27B InstructGoogle$0.030$0.110203K10
baichuan-m2-32bnovita-ai$0.070$0.070131K1
LiquidAI: LFM2-24B-A2Bkilo$0.030$0.12033K1
LFM2-24B-A2Btogetherai$0.030$0.12033K1
LFM2-24B-A2Bopenrouter$0.030$0.12033K1
Granite 4.1 8Bopenrouter$0.050$0.100131K1
R1 Distill Llama 70BDeepSeek$0.030$0.1408K4
Qwen3 235B A22B 2507Alibaba (Qwen)$0.071$0.100262K3
Mythomax L2 13Bnovita-ai$0.090$0.0904K1
Command R7BCohere$0.037$0.150128K4
Command R7B ArabicCohere$0.037$0.150128K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.150262K14
Arcee AI: Trinity Minikilo$0.045$0.150131K1
Trinity Miniopenrouter$0.045$0.150131K1
Trinity Miniclarifai$0.045$0.150131K1
Qwen3 235B A22B Instruct 2507Alibaba (Qwen)$0.100$0.100262K16
Qwen3-235B-A22B-Thinking-2507Alibaba (Qwen)$0.100$0.100262K16
nvidia-nemotron-nano-9b-v2NVIDIA$0.040$0.160131K5
Phi-4Microsoft$0.060$0.140128K5
Ministral 3 3B 2512Mistral$0.100$0.100131K3
Ministral 8B (latest)Mistral$0.100$0.100128K1
Ministral 3Bllmgateway$0.100$0.100131K1
Reka Edgekilo$0.100$0.10016K1

顯示前 60 項,共 487 項。 完整目錄 進一步篩選。

Frequently asked questions

How many AI models support 開放權重?

487 canonical models in our database currently support 開放權重. 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 開放權重?

Whisper Large v3 from scaleway is currently the lowest-priced option, at $0.003 per 1M input tokens and Unknown per 1M output tokens. The full table above is sorted price-ascending.

Which model with 開放權重 has the largest context window?

Llama 4 Scout 17B Instruct (US) (Meta) leads on context at 3.50M tokens. This may matter if you also need long-document understanding alongside 開放權重.

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: Kimi K2.6 (49), Kimi K2.5 (48), GLM-5.1 (47).

How is 開放權重 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.