$0.072 输入 / $0.287 输出
- 上下文: 10M
- 服务商: 2
- 工具调用
AI 模型推荐 · 2026-06-29
支持超长输入的大模型推荐。RAG、长文档解读、全代码库分析、多文件合并审查等场景的核心选项。
$0.072 输入 / $0.287 输出
$0.170 输入 / $0.660 输出
$0.170 输入 / $0.660 输出
$0.180 输入 / $0.450 输出
$0.180 输入 / $0.450 输出
$1.25 输入 / $2.50 输出
$1.25 输入 / $2.50 输出
$0.200 输入 / $0.500 输出
$2.50 输入 / $15.00 输出
$5.00 输入 / $30.00 输出
$30.00 输入 / $180.00 输出
$30.00 输入 / $180.00 输出
Same shortlist sliced four ways — pick the tier that matches your budget and constraints.
Lowest total per-1M-token cost in this list ($0.36).
Lowest-cost option that still meets the use case. Pick this when you have high volume or strict unit-economics.
Median price ($3.75) — typically the safest default.
Good-enough quality at a mid-tier price. The default choice for most production apps.
Highest-priced pick in the list ($210.00) — usually the flagship.
Highest-capability model in this list. Pick when accuracy or reasoning matters more than cost.
Open weights and the cheapest in that subset ($0.83).
Open weights — self-host on your own GPUs, fine-tune on private data, run offline. Pricing here reflects the cheapest API host.
目前我们把 Alibaba (Qwen) 的 Qwen Long 排在第一,主要原因是它在保持完整上下文公开定价的前提下,能接受最多 token 的单次输入。排名根据实时模型元数据自动重算 —— 详细规则见上方「我们的筛选逻辑」。
Qwen Long(Alibaba (Qwen))是榜单中价格最低的,输入每百万 token $0.072,输出每百万 token $0.287。其它入选项的价格依次往上递增。
每一项都来自我们 use-case-rules 配置里的一条程序化规则:先用硬过滤条件(例如 Tool calling 必选、上下文 ≥ 100K)筛选,再用一组结合能力、上下文窗口与价格的数值打分。我们从不手工调整排序,但会手工迭代规则。底层模型元数据每日从我们归一化后的 canonical 目录刷新。
底层模型数据每天刷新一次,数据有变化时静态页面会重新构建。下方「最近更新」标注的就是最近一次构建日期。
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.