合同、导出、客服历史、大文件塞进提示词时，长上下文有用。账单也会跟着跳。窗口和输入单价一起看，并想清楚检索是不是比每次塞全文更便宜。
来源依据: NextModel 精选目录，以及可用时的 OpenRouter 上下文元数据。 · 更新日期 2026-07-01
步骤
上下文长度
先从候选名单开始，再用真实提示词测试，并在接入生产路由前比较月度成本。
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
比较表
缩小生产候选、建立兜底策略或比较模型经济性时用。
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| OpenAI: GPT-5.4openai/gpt-5.4 | OpenAI | Starting at $2.50 / 1M tokens | $15 / 1M tokens | 1.1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| OpenAI: GPT-5.4 Proopenai/gpt-5.4-pro | OpenAI | Starting at $30 / 1M tokens | $180 / 1M tokens | 1.1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| OpenAI: GPT-5.5openai/gpt-5.5 | OpenAI | Starting at $5 / 1M tokens | $30 / 1M tokens | 1.1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| OpenAI: GPT-5.6 Lunaopenai/gpt-5.6-luna | OpenAI | Starting at $0.2 / 1M tokens | $1.20 / 1M tokens | 1.1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| OpenAI: GPT-5.6 Solopenai/gpt-5.6-sol | OpenAI | Starting at $5 / 1M tokens | $30 / 1M tokens | 1.1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| OpenAI: GPT-5.6 Terraopenai/gpt-5.6-terra | OpenAI | Starting at $2 / 1M tokens | $12 / 1M tokens | 1.1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
| Google: Gemini 2.5 Flashgoogle/gemini-2.5-flash | $0.3 / 1M tokens | $2.50 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated | |
| Google: Gemini 3 Flash Previewgoogle/gemini-3-flash-preview | $0.5 / 1M tokens | $3 / 1M tokens | 1M | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1000-3000ms | Catalog | Platform curated |
常见问题
不是。大窗口适合大输入；成本、延迟、检索设计和答案质量仍然决定值不值得。
当大部分文档与当前问题无关时。先抽相关片段，少塞上下文；质量够就用更小模型。
平均输入 token（含塞进的文档）乘输入单价，再加输出。长输入往往比想象中更吃账单。
相关
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