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目录范围
全部公开
个模型
691
个提供方
98
最近同步
2026年10月30日
691 个模型
qwen logoqwen

Qwen: Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

上下文
1M
输入
text · image · audio · video
输出
text
输入: $0.15输出: $0.47每百万 Token
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prism-ml logoprism-ml

PrismML: Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...

上下文
262K
输入
text · image
输出
text
输入: $0.075输出: $0.5每百万 Token
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z-ai logoz-ai

Z.ai: GLM 5.3 FlashX

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...

上下文
1.0M
输入
text · image · video
输出
text
输入: $0.37输出: $1.25每百万 Token
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~typesafe logo~typesafe

TypeSafe: Jev Latest

This model always redirects to the latest model in the Jev family.

上下文
262K
输入
text · image
输出
decisions
输入: $0.042 每百万 Token输出: 免费 每百万 Token
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typesafe logotypesafe

TypeSafe: Jev 1.13

Jev is a structured decision model from TypeSafe, and the first of its System One models. System One models make fast, structured decisions for software, returning a typed choice rather...

上下文
262K
输入
text · image
输出
decisions
输入: $0.042 每百万 Token输出: 免费 每百万 Token
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~deepseek logo~deepseek

DeepSeek: DeepSeek Pro Latest

This model always redirects to the latest model in the DeepSeek Pro family.

上下文
1.0M
输入
text
输出
text
输入: $0.1035输出: $4每百万 Token
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~deepseek logo~deepseek

DeepSeek: DeepSeek Flash Latest

This model always redirects to the latest model in the DeepSeek Flash family.

上下文
1.0M
输入
text · image
输出
text
输入: $0.0309输出: $1.25每百万 Token
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inference-net logoinference-net

Inference.net: Schematron V2 Turbo

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in responseformat rather...

上下文
128K
输入
text
输出
text
输入: $0.03输出: $0.15每百万 Token
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inference-net logoinference-net

Inference.net: Schematron V2 Small

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...

上下文
128K
输入
text
输出
text
输入: $0.05输出: $0.23每百万 Token
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meta logometa

Meta: Muse Voice Transcribe 1.0

Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language biasing through...

上下文
暂未提供
输入
audio
输出
transcription
音频时长: $0.00005 每秒
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~openai logo~openai

OpenAI: GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

上下文
1.1M
输入
file · image · text
输出
text
输入: $10输出: $50每百万 Token
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~openai logo~openai

OpenAI: GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

上下文
1.1M
输入
file · image · text
输出
text
输入: $2输出: $10每百万 Token
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~openai logo~openai

OpenAI: GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

上下文
1.1M
输入
file · image · text
输出
text
输入: $1输出: $5每百万 Token
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~openai logo~openai

OpenAI: GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

上下文
1.1M
输入
file · image · text
输出
text
输入: $0.1输出: $0.5每百万 Token
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sakana logosakana

Sakana: Fugu Ultra v2

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...

上下文
1M
输入
text · image · file
输出
text
输入: $5输出: $30每百万 Token
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sakana logosakana

Sakana: Fugu Max

Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

上下文
1M
输入
text · image · file
输出
text
输入: $2输出: $6每百万 Token
查看模型详情 →
black-forest-labs logoblack-forest-labs

Black Forest Labs: FLUX Video Edit

FLUX Video Edit [fast] takes a source video and an edit prompt and returns a precisely edited video. Add, remove, or replace objects and characters, rebuild the setting, edit on-screen...

上下文
暂未提供
输入
text · video
输出
video
Video Edit Output: $0.03 每秒
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inclusionai logoinclusionai

inclusionAI: Ling 3.0 Flash VL

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

上下文
131K
输入
text · image · video
输出
text
输入: $0.06输出: $0.18每百万 Token
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deepseek logodeepseek

DeepSeek: DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

上下文
1.0M
输入
text · image
输出
text
输入: $0.045输出: $0.5每百万 Token
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deepseek logodeepseek

DeepSeek: DeepSeek V4.1 Flash (batch)

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

上下文
1.0M
输入
text · image
输出
text
输入: $0.05输出: $0.15每百万 Token
查看模型详情 →
openai logoopenai

OpenAI: GPT Image 2.5 Sunburst

GPT Image 2.5 Sunburst is an image generation and editing model from OpenAI, positioned as the precision-oriented tier of the GPT Image 2.5 series. It is suited to detailed creative...

上下文
400K
输入
text · image
输出
image
输入: $8 每百万 Token输出: $8 每百万 Token
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openai logoopenai

OpenAI: GPT Image 2.5 Flare

GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday...

上下文
400K
输入
text · image
输出
image
输入: $8 每百万 Token输出: $8 每百万 Token
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inception logoinception

Inception: Mercury 2.5

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

上下文
260K
输入
text
输出
text
输入: $0.04输出: $0.15每百万 Token
查看模型详情 →
nex-agi logonex-agi

Nex AGI: Nex-N2.5-Mini

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

上下文
262K
输入
text · image
输出
text
输入: $0.025输出: $0.1每百万 Token
查看模型详情 →