完整模型列表

80 个可调用模型 — 67 文本 × 10 厂商 + 6 图像 + 7 视频,含定价/上下文/能力位

本平台当前提供 80 个可调用模型:67 个文本对话模型(横跨 10 家厂商)+ 6 个图像生成7 个视频生成。文本模型定价为美元每 1M tokens;图像按张、视频按秒计费,见 图像 / 视频 / Embedding API

实时数据来源:公开 catalog endpoint GET https://api.dflop.top/api/v1/models/public。本页随版本同步,以线上 模型广场 为准。

表格符号#

含义
能力 toolsfunction calling
能力 vision图片输入
能力 web_search内置联网搜索工具
能力 image_gen / video_gen对话内出图 / 生成视频
能力 thinking推理/思考模式
能力 jsonJSON 强制输出
cached输入命中 prompt cache 时的价格

cached 价无需开启:上游 usage 返回 cached_tokens 时,网关自动按 cached 价结算该部分输入,客户端无需(也无法)显式启用。未标 cached 的模型全部输入按 Input 价计费。

Anthropic (7)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
claude-haiku-4-5-20251001Claude Haiku 4.5200K$1 (cached $0.1)$5tools / vision / web_search / thinking / json
claude-opus-4-5-thinkingClaude Opus 4.5 Thinking200K$15 (cached $1.5)$75tools / vision / web_search / thinking / json
claude-opus-4-6Claude Opus 4.61M$15 (cached $1.5)$75tools / vision / web_search / thinking / json
claude-opus-4-6-thinkingClaude Opus 4.6 Thinking1M$15 (cached $1.5)$75tools / vision / web_search / thinking / json
claude-opus-4-7Claude Opus 4.71M$15 (cached $1.5)$75tools / vision / web_search / thinking / json
claude-opus-4-8Claude Opus 4.81M$15 (cached $1.5)$75tools / vision / web_search / thinking / json
claude-sonnet-4-6Claude Sonnet 4.61M$3 (cached $0.3)$15tools / vision / web_search / thinking / json

OpenAI (2)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
gpt-5.4GPT-5.4400K$2.5 (cached $0.25)$15tools / vision / web_search / image_gen / thinking / json
gpt-5.5GPT-5.51M$5$30tools / vision / web_search / image_gen / thinking / json

Google (8)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
gemini-2.5-flashGemini 2.5 Flash1M$0.3 (cached $0.075)$2.5tools / vision / json
gemini-2.5-flash-liteGemini 2.5 Flash Lite1M$0.1 (cached $0.025)$0.4tools / vision / web_search / json
gemini-2.5-flash-thinkingGemini 2.5 Flash Thinking1M$0.3 (cached $0.075)$2.5tools / vision / web_search / thinking / json
gemini-2.5-proGemini 2.5 Pro2M$1.25 (cached $0.31)$10tools / vision / thinking / json
gemini-3-flashGemini 3 Flash1M$0.4 (cached $0.1)$3tools / vision / web_search / thinking / json
gemini-3-flash-previewGemini 3 Flash (Preview)1M$0.4 (cached $0.1)$3tools / vision / json
gemini-3-pro-previewGemini 3 Pro (Preview)2M$1.5 (cached $0.375)$12tools / vision / thinking / json
gemini-3.1-pro-lowGemini 3.1 Pro (Low)2M$1.5 (cached $0.375)$12tools / vision / web_search / thinking / json

xAI (13)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
grok-3-miniGrok 3 Mini131K$0.3$0.5tools / thinking / json
grok-3-mini-fastGrok 3 Mini Fast131K$0.6$4tools / thinking / json
grok-4Grok 4256K$3$15tools / vision / thinking / json
grok-4-fast-non-reasoningGrok 4 Fast (Non-Reasoning)2M$0.2$0.5tools / json
grok-4-fast-reasoningGrok 4 Fast (Reasoning)2M$0.2$0.5tools / thinking / json
grok-4.1Grok 4.1256K$5$25tools / vision / thinking / json
grok-4.2Grok 4.2256K$5$25tools / vision / thinking / json
grok-4.20-0309-non-reasoningGrok 4.20 (Non-Reasoning)256K$3$15tools / vision / json
grok-4.20-0309-reasoningGrok 4.20 (Reasoning)256K$3$15tools / vision / thinking / json
grok-4.20-multi-agent-0309Grok 4.20 Multi-Agent256K$5$25tools / vision / thinking / json
grok-4.3Grok 4.3256K$3$15tools / vision / video_gen / thinking / json
grok-build-0.1Grok Build 0.1256K$3$15tools / thinking / json
grok-composer-2.5-fastGrok Composer 2.5 Fast131K$1$5

智谱 GLM (5)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
glm-4-7-251222GLM-4.7 (X4)200K$0.7$0.7tools / json / open-source
glm-4.7GLM-4.7200K$0.7$0.7tools / thinking / json / open-source
glm-5GLM-5200K$1.13$3.94tools / thinking / json / open-source
glm-5-turboGLM-5-Turbo200K$1.2$4tools / json / open-source
glm-5.1GLM-5.1200K$1.13$3.94tools / thinking / json / open-source

DeepSeek (6)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
deepseek-v3-0324DeepSeek V3 (0324)128K$0.27 (cached $0.07)$1.1tools / json / open-source
deepseek-v3-2-251201DeepSeek V3.2 (X4)64K$0.27$1.1tools / json / open-source
deepseek-v3.1-terminusDeepSeek V3.1 Terminus128K$0.27 (cached $0.07)$1.1tools / json / open-source
deepseek-v3.2DeepSeek V3.264K$0.27 (cached $0.07)$1.1tools / json / open-source
deepseek-v4-flashDeepSeek V4 Flash128K$0.15$0.6tools / json
deepseek-v4-proDeepSeek V4 Pro128K$0.5$2tools / thinking / json

字节跳动 豆包 (19)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
doubao-1-5-lite-32k-250115Doubao 1.5 Lite (32k)32K$0.043$0.085tools / json
doubao-1-5-pro-32k-250115Doubao 1.5 Pro (32k)32K$0.113$0.282tools / json
doubao-1-5-pro-32k-character-250715Doubao 1.5 Pro Character (32k)32K$0.113$0.282tools / json
doubao-1-5-vision-pro-32k-250115Doubao 1.5 Vision Pro (32k)32K$0.423$1.268tools / vision / json
doubao-seed-1-6-250615Doubao Seed 1.6128K$0.113$1.127tools / vision / json
doubao-seed-1-6-251015Doubao Seed 1.6 (10-15)128K$0.113$1.127tools / vision / json
doubao-seed-1-6-flash-250615Doubao Seed 1.6 Flash128K$0.022$0.212tools / vision / json
doubao-seed-1-6-flash-250828Doubao Seed 1.6 Flash (08-28)128K$0.022$0.212tools / vision / json
doubao-seed-1-6-vision-250815Doubao Seed 1.6 Vision128K$0.113$1.127tools / vision / json
doubao-seed-1-8-251228Doubao Seed 1.8128K$0.113$1.127tools / vision / json
doubao-seed-2-0-code-preview-260215Doubao Seed 2.0 Code Preview256K$0.451 (cached $0.09)$2.254tools / vision / thinking / json
doubao-seed-2-0-lite-260215Doubao Seed 2.0 Lite128K$0.085 (cached $0.017)$0.507tools / vision / json
doubao-seed-2-0-lite-260428Doubao Seed 2.0 Lite (04-28)128K$0.085 (cached $0.017)$0.507tools / vision / json
doubao-seed-2-0-mini-260215Doubao Seed 2.0 Mini64K$0.029 (cached $0.006)$0.282tools / vision / json
doubao-seed-2-0-mini-260428Doubao Seed 2.0 Mini (04-28)64K$0.029 (cached $0.006)$0.282tools / vision / json
doubao-seed-2-0-pro-260215Doubao Seed 2.0 Pro256K$0.451 (cached $0.09)$2.254tools / vision / thinking / json
doubao-seed-character-251128Doubao Seed Character32K$0.113$1.127tools / json
doubao-seed-code-preview-251028Doubao Seed Code Preview128K$0.169$1.127tools / vision / json
doubao-seed-translation-250915Doubao Seed Translation32K$0.169$0.507

腾讯混元 (3)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
hunyuan-2.0-instruct-20251111腾讯混元 2.0 Instruct144K$0.5$2tools / json
hunyuan-2.0-thinking-20251109腾讯混元 2.0 Thinking192K$0.5$2tools / thinking / json
hunyuan-role-latest腾讯混元 Role32K$0.27$1.1tools / json

Moonshot Kimi (2)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
kimi-k2.5Kimi K2.5256K$0.6$2.5tools / thinking / json / open-source
kimi-k2.6Kimi K2.6256K$0.6$2.5tools / thinking / json / open-source

MiniMax (2)#

Model ID显示名上下文Input ($/1M)Output ($/1M)能力
MiniMax-M2.5MiniMax M2.5200K$0.3$1.5tools / json
MiniMax-M2.7MiniMax M2.7200K$0.3$1.5tools / json

图像生成模型 (8)#

计费,走 POST /v1/images/generations。详见 图像 / 视频 API

Model ID显示名价格端点
doubao-seedream-4-0-250828Seedream 4.0$0.03/张/v1/images/generations
doubao-seedream-4-5-251128Seedream 4.5$0.04/张/v1/images/generations (size ≥ 1920²)
doubao-seedream-5-0-260128Seedream 5.0$0.05/张/v1/images/generations (size ≥ 1920²)
grok-imagine-imageGrok Imagine (Image)$0.07/张/v1/images/generations
grok-imagine-image-qualityGrok Imagine (Quality)$0.07/张/v1/images/generations
nano-bananaNano Banana (Gemini 2.5 Flash Image)$0.039/张/v1/images/generations
nano-banana-proNano Banana Pro (Gemini 3 Pro Image)$0.134/张/v1/images/generations
nano-banana-2Nano Banana 2 (Gemini 3.1 Flash Image)$0.04/张/v1/images/generations

2026-07-08 起 nano 家族三卡为唯一入口:旧 id gemini-2.5-flash-image / gemini-3-pro-image-preview / gemini-3.1-flash-image(-preview)tvod-nano-* 系全部作为 alias 继续可用,解析到上述 canonical 卡。gemini-3.1-flash-image 此前的 chat/Gemini-native 调用面已收口 —— 请改调 /v1/images/generations

视频生成模型 (9)#

计费,异步任务,走 POST /v1/videos/generations。详见 图像 / 视频 API

Model ID显示名价格
doubao-seedance-1-0-pro-fast-251015Seedance 1.0 Pro Fast$0.08/秒
doubao-seedance-1-0-pro-250528Seedance 1.0 Pro$0.15/秒
doubao-seedance-1-5-pro-251215Seedance 1.5 Pro$0.18/秒
doubao-seedance-2-0-fast-260128Seedance 2.0 Fast$0.12/秒
doubao-seedance-2-0-260128Seedance 2.0$0.22/秒
doubao-seedance-2.0Seedance 2.0 真人出镜480p $0.12 / 720p $0.24 / 1080p $0.60 每秒
doubao-seedance-2.0-fastSeedance 2.0 真人出镜 极速480p $0.10 / 720p $0.19 每秒
grok-imagine-videoGrok Imagine Video$0.70/秒
grok-imagine-video-1.5-previewGrok Imagine Video 1.5$1.45/秒

按用途速选#

用途推荐 model理由
最强推理 / agentclaude-opus-4-8, claude-opus-4-71M 上下文 + tools + vision + thinking
日常 codingclaude-sonnet-4-6, gpt-5.4, doubao-seed-2-0-code-preview-260215平衡价格性能
秒级响应gemini-2.5-flash-lite, doubao-seed-1-6-flash-250615低延迟低价
中文场景glm-5.1, deepseek-v3.2, hunyuan-2.0-instruct-20251111国内厂家
长上下文gemini-2.5-pro (2M), grok-4-fast-* (2M), claude-opus-4-6+ (1M), gpt-5.5 (1M)上下文窗口
极便宜批量doubao-seed-1-6-flash-250615 ($0.022/M), doubao-1-5-lite-32k-250115 ($0.043/M)量级 $0.02–$0.05/M
多模态视觉claude-*, gpt-5.x, gemini-*, grok-4.x, doubao-seed-1-6-vision支持 vision
角色扮演doubao-seed-character-251128, hunyuan-role-latestcharacter 特化
翻译doubao-seed-translation-250915翻译特化

跨厂商协议支持#

不同模型支持的客户端 SDK 不同,完整可达性以 兼容矩阵 为准。catalog 的 supported_protocols 字段(GET /api/v1/models/public 返回,模型广场 卡片同源)只反映原生/主路径;不少模型还能经网关翻译或上游通道走其他协议(响应带 X-Protocol-Translation header),那部分只在兼容矩阵里列。原生路径分布(截至 2026-06):

  • OpenAI Chat 协议(/v1/chat/completions)—— 78 个文本模型中 77 个支持(仅 doubao-seed-translation-250915 例外),覆盖面最广
  • Anthropic Messages 协议(/v1/messages)—— 原生:Claude 全系 9 个 + 4 个 Gemini SKU(gemini-2.5-flash-lite / gemini-2.5-flash-thinking / gemini-3-flash / gemini-3.1-pro-low);另有 GPT-5.x 与多数第三方模型经上游转换/翻译可达,见矩阵
  • OpenAI Responses 协议(/v1/responses)—— gpt-5.4 / gpt-5.5(Codex CLI 主路径)+ claude-opus-4-6 / claude-opus-4-7 / claude-opus-4-8 / claude-sonnet-4-6 / claude-haiku-4-5-20251001
  • Gemini Native 协议(/v1beta/...)—— 原生:gemini-2.5-flash / gemini-2.5-pro / gemini-3-flash-preview / gemini-3-pro-preview;另有部分模型经上游转换可达,见矩阵

对没有任何通道可达的模型×协议组合,网关返回 503 no_channel_available(模型存在但该协议下没有可用通道,不是 404),换到支持的协议即可。

实时数据#

模型列表 + 价格随上游变动,实时数据见 https://model.dflop.top/models 或公开 catalog endpoint(免鉴权):

curl https://api.dflop.top/api/v1/models/public | jq .

响应形如 { "models": [...] }。注意:该端点返回全部注册条目(含尚未上架的占位 SKU 和非 chat SKU),脚本接入时按以下三个字段过滤,不要拿全量列表循环调用:

字段含义
callablefalse = 占位 SKU(仅展示,暂未上架),直接调用返回 model_not_found
endpoint_typenull = 普通 chat 模型;images_generations / videos_generations / contents_generations_tasks / embeddings 等表示走各自专用端点,不能发到 /v1/chat/completions,见 图像 / 视频 / Embedding API
supported_protocols该模型可用的客户端协议列表(见上节「跨厂商协议支持」)

只取「能直接发 /v1/chat/completions 的模型」:

curl -s https://api.dflop.top/api/v1/models/public \
  | jq -r '.models[] | select(.callable and (.supported_protocols | index("openai_chat"))) | .id'