在同一介面比較所有主流大語言模型。
價格、上下文長度、能力、供應商可用性 —— 每日自官方來源同步。
精選模型
查看全部 →GPT-6 Luna
OpenAI$0.100 in / $0.500 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
Claude Haiku 5.5
Anthropic$0.100 in / $0.500 out · 1M context
- tools
- · json
- · reasoning
- · vision
Gemini 4 Argon
Google$2.00 in / $10.00 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
Grok 4.7
xAI$2.00 in / $6.00 out · 500K context
- tools
- · json
- · reasoning
- · vision
DeepSeek V4.1 Flash 1017
DeepSeek$0.030 in / $0.120 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
- · open weights
Qwen3.8 27B
Alibaba (Qwen)$0.001 in / $0.001 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
- · open weights
Kimi K3
Moonshot AI$3.00 in / $15.00 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
- · open weights
GLM-5.3-Flash
Z.AI / Zhipu$0.150 in / $0.500 out · 1M context
- tools
- · json
- · reasoning
- · vision
- · open weights
MiniMax-M3.1-Flash
MiniMax$0.150 in / $0.600 out · 1M context
- tools
- · reasoning
- · vision
- · open weights
依類別瀏覽
近期發布
Gemini 4 Carbon
Google$2.00 in / $10.00 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
Claude Fable 5.2
Anthropic$8.00 in / $40.00 out · 1M context
- tools
- · json
- · reasoning
- · vision
Muse Ember
Meta$0.100 in / $0.500 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
DeepSeek V4.1 Flash 1017 Uncensored (HeimdaLLM)
DeepSeek$0.180 in / $0.650 out · 1.05M context
- tools
- · reasoning
- · vision
Gemini Omni 1.2 Flash
Google$1.50 in / $9.00 out · 131K context
- · reasoning
- · vision
GLM 5.3 FlashX Legal
Z.AI / Zhipu$0.370 in / $1.25 out · 1.05M context
- tools
- · json
- · reasoning
- · vision
最便宜的文字 LLM
查看全部 →- $0.001 / $0.001
- $0.001 / $0.001
- $0.009 / Unknown
- $0.009 / Unknown
- $0.010 / Unknown
最長上下文
查看全部 →- 10M
- 10M
- 10M
- 10M
- 2M
最近變更
查看全部 →Learn the basics
查看全部 →What is a Context Window in LLMs?
Plain-language explanation of context windows, tokens, and how to plan long inputs in real applications.
Input vs Output Token Pricing in LLMs
Why output tokens cost more than input tokens, and how to estimate monthly LLM API costs realistically.
What is Tool Calling in LLMs?
How tool calling / function calling works, when to use it, and which models support it best.
What is Structured Output / JSON Mode?
How structured output works, when to choose it over tool calling, and which models enforce JSON correctly.
Open Weight vs Open Source AI Models
The difference between open-weight, open-source and proprietary AI models — and what each license actually allows.
How to Choose an LLM for Your App
A practical, field-tested checklist for picking an LLM — covering quality, cost, latency, lock-in, regions, compliance and licensing.
Top vendors
價格以美元／每百萬 token 計。「未公開」代表廠商未公布按 token 計費價格。