Models

-25%
GPT-Image-2.6 Flare
Per token
GPT-Image-2.6 Flare is an image generation and editing model designed for rapid iteration. It can generate or edit images based on text and image inputs and is suitable for interactive image generation and editing workflows. The documentation mentions complexity settings, markup-guided editing, SVG output, and animated GIF output. ### Pricing Billed per million tokens, in USD: - Text input: 5.00 - Cached text input: 1.25 - Image input: 8.00 - Cached image input: 2.00 - Image output: 30.00 Supports only text and image inputs and image output; audio and video are not supported.
Text · Per token · Input$3.75/M
Image · Per token · Input$6.00/M
Image · Per token · Output$22.50/M
-25%
GPT-Image-2.6 Sunburst
Per token
GPT-Image-2.6 Sunburst supports image generation and editing based on text and image inputs, making it suitable for precise composition and image editing workflows. The documentation mentions complexity settings, markup-guided editing, SVG output, and animated GIF output. ### Input and Output - Input: text, images - Output: images - Audio and video modalities are not supported ### Official Pricing All prices below are in USD per 1 million tokens: | Type | Input | Cached Input | Output | | --- | ---: | ---: | ---: | | Text Tokens | 5.00 | 1.25 | — | | Image Tokens | 8.00 | 2.00 | 30.00 |
Image · Per token · Input$6.00/M
Image · Per token · Output$22.50/M
Text · Per token · Input$3.75/M
-15%
GPT-5.6 Sol
Per token
GPT-5.6 Sol 是 OpenAI 的模型。模型族：gpt。知识截止：2026-02-16。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$3.40/M
Output$17.00/M
-15%
Gemini 4 Argon
Per token
Gemini 4 Argon 是 Google Gemini 的模型。模型族：gemini。知识截止：2026-03。模态：text、image、video、audio、pdf → text。上下文长度：1,048,576 tokens。
Input$1.70/M
Output$8.50/M
-15%
Gemini 3.8 Flash
Per token
Gemini 3.8 Flash 是 Google Gemini 的模型。模型族：gemini-flash。模态：text、image、video、audio、pdf → text。上下文长度：1,048,576 tokens。
Input$0.637/M
Output$3.19/M
-15%
Gemini 3.7 Flash
Per token
Gemini 3.7 Flash 是 Google Gemini 的模型。模型族：gemini-flash。知识截止：2026-03。模态：text、image、video、audio、pdf → text。上下文长度：1,048,576 tokens。
Input$0.637/M
Output$3.19/M
-50%
MiniMax H3 （自部署）
Per token
MiniMax H3 is a general-purpose, omni-modal video generation model developed by MiniMax. It unifies the understanding of text, images, video, and audio inputs, and is capable of generating videos up to 15 seconds in length at 2K resolution with native stereo audio. Unlike earlier systems that separated tasks such as text-to-video, image-to-video, and editing into distinct models, H3 treats them as a single generalized task, using natural language to describe how reference materials relate to the target output.
Video tokens$0.714/M
-25%
Doubao-Seedance-2.0
Per token
豆包大模型团队推出的新一代专业级多模态创作视频模型 Seedance 2.0，支持图像、视频、音频等多模态作为参考输入生成视频，还具备视频编辑、延长等能力，能高精度还原各类细节并稳定角色特征，具备极致拟真的视听稳定性，深度适配商业广告、影视制作与社交媒体营销等各大核心场景
480p$5.25/M
480p$3.23/M
-25%
GPT-5.4
Per token
GPT-5.4 是 OpenAI 的模型。模型族：gpt。知识截止：2025-08-31。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$1.88/M
Output$11.25/M
-25%
GPT-5.4 Pro
Per token
GPT-5.4 Pro 是 OpenAI 的模型。模型族：gpt-pro。知识截止：2025-08-31。模态：text、image → text。上下文长度：1,050,000 tokens。
Input$22.50/M
Output$135/M
-25%
GPT-5.4 nano
Per token
GPT-5.4 nano 是 OpenAI 的模型。模型族：gpt-nano。知识截止：2025-08-31。模态：text、image → text。上下文长度：400,000 tokens。
Input$0.150/M
Output$0.938/M
-15%
GPT-5.4 mini
Per token
GPT-5.4 mini 是 OpenAI 的模型。模型族：gpt-mini。知识截止：2025-08-31。模态：text、image → text。上下文长度：400,000 tokens。
Input$0.637/M
Output$3.83/M
-25%
GPT-6 Sol
Per token
GPT-6 Sol 是 OpenAI 的模型。模型族：gpt-sol。知识截止：2026-04-20。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$1.50/M
Output$7.50/M
-25%
GPT-6 Luna
Per token
GPT-6 Luna 是 OpenAI 的模型。模型族：gpt-luna。知识截止：2026-05-18。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$0.075/M
Output$0.375/M
-25%
deepseek-flash
Per token
deepseek-flash 是 DeepSeek 的模型。模态：text → text。上下文长度：1,000,000 tokens。
Input$0.214/M
Output$0.836/M
-15%
GPT Image 2
Per token
GPT Image 2 是我们最先进的图像生成模型，用于快速、高质量的图像生成和编辑。它支持灵活的图像尺寸和高保真图像输入。
Text · Per token · Input$4.25/M
Image · Per token · Input$6.80/M
Image · Per token · Output$25.50/M
-15%
Nano Banana
Per token
Nano Banana 是 Google Gemini 的模型。模型族：gemini-flash。知识截止：2025-06。模态：text、image → text、image。上下文长度：32,768 tokens。
Text · Per token · Input$0.255/M
Text · Per token · Output$25.50/M
Image · Per token · Input$0.255/M
Image · Per token · Output$25.50/M
-15%
Gemini 3.6 Flash
Per token
Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it delivers coding and reasoning quality close to Gemini Pro, while preserving the speed and cost profile that make Flash ideal for real-time, high-volume workloads. It reduces output token usage by 17% compared to 3.5 Flash.
Input$1.27/M
Output$6.38/M
-25%
GPT-Image-2.5 Flare
Per token
GPT-Image-2.5 Flare 是面向日常高质量图像生成的高速模型，支持文本和图像输入，仅输出图像。支持 low、medium、high、xhigh、max 和 auto 六种质量设置，可通过 Image API 直接调用，也可作为 Responses API 图像生成工具的模型使用。支持图像生成、图像编辑和 Batch 处理，不支持音频或视频。 ### Token 价格以下金额均为 USD / 100 万 Token： - 文本输入：5；缓存文本输入：1.25。 - 图像输入：8；缓存图像输入：2。 - 图像输出：标准处理 30；Batch 处理 15。模型不输出文本，因此没有文本输出计费。Token 单价与 GPT Image 2 相同，但 GPT Image 2 的计算器不能用于估算 GPT Image 2.5 的 Token 消耗。
Text · Per token · Input$3.75/M
Image · Per token · Input$6.00/M
Image · Per token · Output$22.50/M
-25%
GPT-Image-2.5 Sunburst
Per token
GPT-Image-2.5 Sunburst 是 OpenAI 的图像生成与编辑模型，支持文本和图像输入、图像输出，适合对编辑精度要求较高的工作流。支持 low、medium、high、xhigh、max 和 auto 六种质量设置。可通过 Image API 直接使用，也可作为 Responses API 图像生成工具的模型使用。支持的图像接口： - 生成：`v1/images/generations` - 编辑：`v1/images/edits` 不支持音频和视频。 ### 官方价格按每 100 万 Token 计费，单位为 USD： | 类型 | 输入 | 缓存输入 | 输出 | | --- | ---: | ---: | ---: | | 文本 | 5.00 | 1.25 | 不适用 | | 图像 | 8.00 | 2.00 | 30.00 | 模型仅输出图像，不收取文本输出费用。Token 单价与 GPT Image 2 相同，但 GPT Image 2 的计算器不能用于估算 GPT Image 2.5 的 Token 消耗。
Text · Per token · Input$3.75/M
Image · Per token · Input$6.00/M
Image · Per token · Output$22.50/M
-15%
Claude Haiku 5.5
Per token
Claude Haiku 5.5 是 Anthropic 的模型。模型族：claude-haiku。知识截止：2026-06。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$0.085/M
Output$0.425/M
-35%
Kimi K3
Per token
Kimi K3 是 Moonshot AI / Kimi 的模型。模型族：kimi-k3。模态：text、image、video → text。上下文长度：1,048,576 tokens。
Input$1.95/M
Output$9.75/M
-30%
Kimi K2.6
Per token
Kimi K2.6 是 Moonshot AI / Kimi 的模型。模型族：kimi-k2。知识截止：2025-01。模态：text、image、video → text。上下文长度：262,144 tokens。
Input$0.665/M
Output$2.80/M
Grok 4.6
Per token
Grok 4.6 是 xAI 的模型。模型族：grok。知识截止：2026-02-01。模态：text、image、pdf → text。上下文长度：500,000 tokens。
Input$2.20/M
Output$6.60/M
-35%
Grok 4.7
Per token
Grok 4.7 是 xAI 的模型。模型族：grok。知识截止：2026-05。模态：text、image、pdf → text。上下文长度：500,000 tokens。
Input$1.30/M
Output$3.90/M
-35%
Grok 4.3
Per token
Grok 4.3 是 xAI 的模型。模型族：grok。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$0.813/M
Output$1.63/M
-15%
GPT-5.5
Per token
GPT-5.5 是 OpenAI 的模型。模型族：gpt。知识截止：2025-12-01。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$4.25/M
Output$25.50/M
-15%
GPT-5.6 Terra
Per token
GPT-5.6 Terra 是 OpenAI 的模型。模型族：gpt-mini。知识截止：2026-02-16。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$2.13/M
Output$12.75/M
-15%
GPT-5.6 Luna
Per token
GPT-5.6 Luna is a model by OpenAI. Model family: gpt-nano. Knowledge cutoff: 2026-02-16. Modalities: text, image, pdf → text. Context length: 1,050,000 tokens.
Input$0.850/M
Output$5.10/M
-25%
GPT-6 Astra
Per token
GPT-6 Astra is OpenAI's flagship frontier model, released September 3, 2026 and described by OpenAI as its most capable and most aligned model, built for the hardest end-to-end work in coding, computer use, browsing, research and professional tasks. On the API it offers a 1,050,000-token context window with up to 128,000 output tokens, a knowledge cutoff of April 30, 2026, text and image input with text output, and support for function/tool calling, built-in tools (web search, file search, computer use), Structured Outputs and streaming; reasoning effort supports low, medium, high, xhigh and max (none is not supported, and custom temperature/top_p and logprob are unavailable). Standard API pricing is $10 per 1M input tokens and $50 per 1M output tokens, with cached input at $1.00, cache writes at $12.50, and a long-context tier above 272K input tokens at $20/$75 ($2.00 cached, $25.00 cache writes); Batch and Flex are priced at 50% of Standard rates and Fast mode at 2x. Access is being rolled out gradually, with parts of it gated behind OpenAI's Trusted Access / Daybreak program as the first model to reach the Critical cybersecurity capability level under its Preparedness Framework.
Input$7.50/M
Output$37.50/M
-25%
GPT-6.1 Sol
Per token
GPT-6.1 Sol 是 OpenAI 的模型。模型族：gpt-sol。知识截止：2026-04-30。模态：text、image、pdf → text。上下文长度：1,050,000 tokens。
Input$1.50/M
Output$7.50/M
-15%
DeepSeek V4 Pro
Per token
DeepSeek V4 Pro 是 DeepSeek 的模型。模型族：deepseek-thinking。知识截止：2025-05。模态：text → text。上下文长度：1,000,000 tokens。
Input$0.370/M
Output$0.740/M
-15%
DeepSeek V4 Flash
Per token
DeepSeek V4 Flash 是 DeepSeek 的模型。模型族：deepseek-flash。知识截止：2025-05。模态：text → text。上下文长度：1,000,000 tokens。
Input$0.119/M
Output$0.238/M
-15%
Claude Fable 5.1
Per token
Claude Fable 5.1 是 Anthropic 的模型。模型族：claude-fable。知识截止：2026-06。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$8.50/M
Output$42.50/M
-15%
Claude Opus 5.5
Per token
Claude Opus 5.5 是 Anthropic 的模型。模型族：claude-opus。知识截止：2026-06。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$3.40/M
Output$17.00/M
-15%
Claude Sonnet 5.5
Per token
Claude Sonnet 5.5 是 Anthropic 的模型。模型族：claude-sonnet。知识截止：2026-06。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$1.70/M
Output$8.50/M
-15%
Claude Opus 5
Per token
Claude Opus 5 是 Anthropic 的模型。模型族：claude-opus。知识截止：2026-05。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$4.25/M
Output$21.25/M
-15%
Claude Opus 4.8
Per token
Claude Opus 4.8 是 Anthropic 的模型。模型族：claude-opus。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$4.25/M
Output$21.25/M
-15%
Claude Sonnet 4.6
Per token
Claude Sonnet 4.6 是 Anthropic 的模型。模型族：claude-sonnet。知识截止：2025-08-31。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$2.55/M
Output$12.75/M
-15%
Claude Opus 4.6
Per token
Claude Opus 4.6 是 Anthropic 的模型。模型族：claude-opus。知识截止：2025-05-31。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$4.25/M
Output$21.25/M
-15%
Claude Opus 4.7
Per token
Claude Opus 4.7 是 Anthropic 的模型。模型族：claude-opus。知识截止：2026-01-31。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$4.25/M
Output$21.25/M
-20%
Qwen3.7 Plus
Per token
Qwen3.7 Plus 是 Alibaba Qwen 的模型。模型族：qwen。知识截止：2025-04。模态：text、image、video → text。上下文长度：1,000,000 tokens。
Input$0.400/M
Output$2.40/M
-30%
HappyHorse-1.1-I2V
Per second
HappyHorse-1.1-I2V supports image-to-video generation, further enhancing visual quality, dynamic performance, and cross-clip consistency. The model can more accurately understand input images and continue the creative intent, bringing significant improvements in character skin texture, cross-clip ID consistency, motion fluidity, text rendering stability, and audio-visual synchronization, outputting high-quality videos that are more realistic, natural, rich in detail, and highly consistent.
720p$0.098/s
1080p$0.126/s
-30%
HappyHorse-1.1-T2V
Per second
HappyHorse-1.1-T2V supports text-to-video generation, further enhancing text semantic understanding, camera scheduling, and dynamic generation performance. The model can more accurately restore creative intent, generating higher-quality videos that are smoother, more natural, richer in detail, and more consistent in terms of character movements, scene atmosphere, visual aesthetics, and physical motion.
720p$0.098/s
1080p$0.126/s
-30%
HappyHorse-1.0-I2V
Per second
HappyHorse-1.0-I2V 是阿里巴巴 ATH 团队推出的 15B 参数统一多模态 Transformer 视频生成模型。支持图生视频（Image-to-Video），以图像为起点，精准保留原图内容，生成自然流畅的动态视频。具备高度还原的动态画面生成能力，能够精准理解文本语义，输出流畅自然、细节丰富的高质量视频。支持 720P/1080P 分辨率。
720p$0.098/s
1080p$0.168/s
-30%
HappyHorse-1.0-R2V
Per second
HappyHorse-1.0-R2V 支持参考生视频，更加稳定的主体与场景参考，支持最多9张图片参考，能够精准保持创作意图，实现更强表现能力。
720p$0.098/s
1080p$0.168/s
-30%
HappyHorse-1.0-T2V
Per second
Cinematic creative generation, ultimate dynamic details. 文生视频，精准理解语义，细节丰富画质流畅。支持1080p原生分辨率，同步音频，多镜头故事讲述，7种语言唇形同步。
720p$0.098/s
1080p$0.168/s
-30%
HappyHorse-1.0-Video-Edit
Per second
HappyHorse-1.0 视频编辑模型，支持对已有视频进行风格变换、局部替换等二次创作。支持截取前15秒编辑，输出分辨率与输入一致，实现从1到N的创意延展。
720p$0.098/s
1080p$0.168/s
-15%
Gemini 3.1 Flash Lite Preview
Per token
Gemini 3.1 Flash Lite Preview 是 Google Gemini 的模型。模型族：gemini-flash-lite。知识截止：2025-01。模态：text、image、video、audio、pdf → text。上下文长度：1,048,576 tokens。
Input$0.212/M
Output$1.27/M
-15%
Gemini 3.1 Pro Preview
Per token
Gemini 3.1 Pro Preview 是 Google Gemini 的模型。模型族：gemini-pro。知识截止：2025-01。模态：text、image、video、audio、pdf → text。上下文长度：1,048,576 tokens。
Input$1.70/M
Output$10.20/M
-15%
Gemini 3.5 Flash
Per token
Gemini 3.5 Flash 是 Google Gemini 的模型。模型族：gemini-flash。知识截止：2025-01。模态：text、image、video、audio、pdf → text。上下文长度：1,048,576 tokens。
Input$1.27/M
Output$7.65/M
-40%
GLM-5.2
Per token
GLM-5.2 is Z.ai's flagship model built for long-horizon tasks, featuring a usable 1M-token context window and 744B MoE parameters (40B activated). It is optimized for project-scale engineering and agentic coding scenarios, with support for multiple reasoning effort levels, function calling, structured output (JSON mode), and streaming.
Input$0.840/M
Output$2.64/M
-15%
Nano Banana Pro
Per token
Nano Banana Pro is a complex reasoning-driven engine for professional-grade image editing and generation, offering studio-level precision and advanced creative control. Nano Banana Pro is best suited for complex graphic design, high-fidelity product modeling, and factual data visualization that requires accurate text rendering and real-world grounding via Google Search.
Text · Per token · Input$1.70/M
Text · Per token · Output$10.20/M
Image · Per token · Input$1.70/M
Image · Per token · Output$102/M
-15%
Nano Banana Pro Preview
Per token
Nano Banana Pro 是 Google Gemini 的模型。模型族：gemini-pro。知识截止：2025-01。模态：text、image → text、image。上下文长度：65,536 tokens。
Text · Per token · Input$1.70/M
Text · Per token · Output$10.20/M
Image · Per token · Input$1.70/M
Image · Per token · Output$102/M
-15%
Nano Banana 2
Per token
Nano Banana 2 provides high-quality image generation and conversational editing at mainstream prices with low latency. It is the highly efficient counterpart to Gemini 3 Pro Image, optimized for speed and high-volume developer use cases. It supports 0.5K, 1K, 2K, and 4K resolutions, adds 1:4, 4:1, 1:8, and 8:1 aspect ratios, and supports image search grounding and chain of thought.
Text · Per token · Input$0.425/M
Text · Per token · Output$2.55/M
Image · Per token · Input$0.425/M
Image · Per token · Output$51.00/M
-15%
Nano Banana 2 Preview
Per token
Nano Banana 2 是 Google Gemini 的模型。模型族：gemini-flash。知识截止：2025-01。模态：text、image、pdf → text、image。上下文长度：65,536 tokens。
Text · Per token · Input$0.425/M
Text · Per token · Output$2.55/M
Image · Per token · Input$0.425/M
Image · Per token · Output$51.00/M
-15%
Nano Banana 2 Lite
Per token
Nano Banana Lite is the efficiency expert in the image generation family, providing ultra-low latency and highly cost-effective image generation and editing capabilities. Targeting an end-to-end latency of under 2 seconds, it significantly reduces TPU computing costs, making it ideal for high-concurrency interactive developer use cases and real-time consumer applications. It supports interleaved generation and editing from text to image-and-text, and from image to image-and-text, is optimized for 1K (1024x1024px) resolution, supports 14 aspect ratios, enables rapid multi-turn local editing, maintains high character consistency, and has SynthID + C2PA watermarks enabled by default.
Text · Per token · Input$0.212/M
Text · Per token · Output$1.27/M
Image · Per token · Input$0.212/M
Image · Per token · Output$25.50/M
-5%
Dreamina-Seedance-2.0-mini
Per token
Supports multimodal references, featuring video editing and extension capabilities
$2.00/M
$3.33/M
Seedance 2.5
Per token
字节跳动最新一代多模态视频生成模型，支持文本、图片、视频、音频等参考输入，强化角色一致性、复杂运镜、动作表现和长镜头生成，可用于高质量影视级视频创作。
$11.77/M
$7.04/M
-15%
Gemini 2.5 Flash
Per token
Gemini 2.5 Flash 是 Google Gemini 的模型。模型族：gemini-flash。知识截止：2025-01。模态：text、image、audio、video、pdf → text。上下文长度：1,048,576 tokens。
Input$0.255/M
Output$2.13/M
-5%
Dreamina-Seedance-2.0
Per token
新一代专业级多模态视频创作模型，支持基于图像、视频和音频等多模态参考输入生成视频，同时具备视频编辑和扩展能力。
480p$6.65/M
720p$6.65/M
-5%
Dreamina-Seedance-2.0-fast
Per token
Seedance-2.0-fast is a new generation multimodal video creation model, inheriting the core features and advantages of Seedance-2.0 with faster speed. It supports generating videos from reference images/videos/audio, video editing, video extension, and first and last frame generation.
$3.13/M
$5.32/M
-15%
Claude Sonnet 4.5
Per token
Claude Sonnet 4.5 是 Anthropic 的模型。模型族：claude-sonnet。知识截止：2025-07-31。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$2.55/M
Output$12.75/M
-15%
Claude Sonnet 5
Per token
Claude Sonnet 5 是 Anthropic 的模型。模型族：claude-sonnet。知识截止：2026-01-31。模态：text、image、pdf → text。上下文长度：1,000,000 tokens。
Input$1.70/M
Output$8.50/M
-15%
Claude Fable 5
Per token
Claude Fable 5 is Anthropic's most capable publicly released model to date, built specifically for the most demanding reasoning and long-horizon Agent tasks. It supports a 1M context window and up to 128k output tokens. It features built-in safety classifiers and supports adaptive thinking, code execution, visual understanding, and tool use.
Input$8.50/M
Output$42.50/M
-15%
Claude Haiku 4.5
Per token
Claude Haiku 4.5 是 Anthropic 的模型。模型族：claude-haiku。知识截止：2025-02-28。模态：text、image、pdf → text。上下文长度：200,000 tokens。
Input$0.850/M
Output$4.25/M

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