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Meta
OverviewModels
Meta

Meta

California, 美国
概览
已发布公告已发布公告模型
Meta徽标
Muse Video
meta/muse-video

Muse Video is Meta's in-development video generation model in the Muse family, intended to bring prompt-driven creative video workflows into Meta's AI products.

即将推出
提供商0/0
输入
-
输出
Video
2026年7月7日
有限访问有限访问模型
Meta徽标
Muse Wonder Full
meta/muse-wonder-full

Meta’s higher-capability Muse Wonder variant for the hardest coding and long-running agentic work, running at maximum reasoning. Available only through Muse Code with Power Usage or Maximum Usage subscriptions.

提供商0/0
输入
TextImageAudioVideo
输出
Text
2026年10月12日
可用可用模型
Meta徽标
Muse Spark Open
meta/muse-spark-open

Muse Spark Open is Meta’s open-weight multimodal reasoning model for coding and long-horizon agentic work. It uses 816B total parameters with 42B active per token, supports a 1M-token context window, and includes additional safety post-training for standalone deployment.

提供商0/0
输入
TextImageAudioVideo
输出
Text
2026年10月15日
Meta徽标
Muse Wonder 1.0
meta/muse-wonder-1.0

Muse Wonder is Meta's agentic model for coding and multi-step work, with native tool calling and MCP support. It plans long tasks, delegates work, and recovers from errors.

输入
TextImageAudioVideo
输出
Text
2026年10月12日
Meta徽标
Muse Spark 1.3
meta/muse-spark-1.3

Muse Spark 1.3 is Meta's agentic model for long-horizon coding and multi-step work. It improves tool, browser, and computer use across agent harnesses, adds native tool calling and MCP support, and uses fewer tokens than Muse Spark 1.2.

上下文长度1,048,576 个 token
输入
TextImageAudioVideo
输出
Text
2026年9月2日
Meta徽标
Muse Spark 1.3 Contributor
meta/muse-spark-1.3-contributor

Muse Spark 1.3 Contributor has the same model and capabilities as Muse Spark 1.3 at lower prices. Inputs and outputs may be used to train and improve Meta's AI models.

提供商0/0
输入
TextImageAudioVideo
输出
Text
2026年9月2日
Meta徽标
Muse Voice Transcribe 1.0
meta/muse-voice-transcribe-1.0

Muse Voice Transcribe 1.0 is Meta's real-time audio perception model for multilingual speech recognition, speaker diarization, and endpointing. It supports seamless code-switching, keyword and language biasing, audio longer than one hour when streamed, and more than 20 speakers.

输入
Audio
输出
Text
2026年9月1日
Meta徽标
Muse Glimmer 30B
meta/muse-glimmer-30b

Muse Glimmer 30B is an open-weight, dense multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for local agentic workflows. It accepts interleaved text and images and produces text, with support for long-horizon reasoning, tool use, coding, failure recovery, and more than 100 languages.

上下文长度131,072 个 token
输入
TextImage
输出
Text
2026年8月10日
Meta徽标
Muse Spark 1.2 Contributor
meta/muse-spark-1.2-contributor

Muse Spark 1.2 Contributor is the lower-cost, training-enabled edition of Meta's coding-optimized model for agentic workflows. It shares the capabilities and 1 million token context window of Muse Spark 1.2, while allowing Meta to use prompts and completions to train future models.

提供商0/0
输入
TextImageAudioVideo
输出
Text
2026年8月5日
Meta徽标
Muse Spark 1.2
meta/muse-spark-1.2

Muse Spark 1.2 is a coding-optimized model from Meta Superintelligence Labs built for agentic workflows, with improvements to code generation, debugging, and codebase understanding. Its 1 million token context window is designed to handle an entire project in one session.

上下文长度1,048,576 个 token
输入
TextImageAudioVideo
输出
Text
2026年8月5日
Meta徽标
Muse Spark 1.1
meta/muse-spark-1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, with improvements in tool and computer use, coding, long-context work, and multimodal understanding. It supports a 1 million token context window and is available through the Meta Model API public preview.

上下文长度1,048,576 个 token
输入
TextImageAudioVideo
输出
Text
2026年7月9日
Meta徽标
Muse Image 1.0
meta/muse-image-1.0

Muse Image is Meta's agentic image generation and editing model for precise edits, multi-reference composition, and complex visual prompts.

输入
TextImage
输出
Image
2026年7月7日
Meta徽标
Muse Image
meta/muse-image

Muse Image is Meta Superintelligence Labs' first image generation model, built for Meta AI and creative workflows across Meta apps. It supports text and photo-based image generation, editing, and restyling workflows.

提供商0/0
输入
TextImage
输出
Image
2026年7月7日
Meta徽标
Llama 4 Maverick 17b 128e Instruct
meta/llama-4-maverick-17b-128e-instruct

A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.

提供商0/0
输入
Text
输出
Text
2025年4月5日
Meta徽标
Llama 4 Maverick
meta/llama-4-maverick

Llama 4 Maverick is a multimodal model from Meta that can work across text and visual inputs. It accepts text and image inputs and produces text outputs.

上下文长度1,048,576 个 token
输入
TextImage
输出
Text
2025年4月5日
Meta徽标
Llama 4 Scout
meta/llama-4-scout

Llama 4 Scout is a multimodal model from Meta that can work across text and visual inputs. It accepts text and image inputs and produces text outputs.

上下文长度327,680 个 token
输入
TextImage
输出
Text
2025年4月5日
Meta徽标
Llama 3.3 70B Instruct Turbo
meta/llama-3.3-70b-instruct-turbo

A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.

提供商0/0
输入
Text
输出
Text
2024年12月6日
Meta徽标
Llama 3.3 70B Instruct
meta/llama-3.3-70b

Llama 3.3 70B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

上下文长度131,072 个 token
输入
Text
输出
Text
2024年12月6日
Meta徽标
Meta: Llama 3.2 1B Instruct
meta/llama-3.2-1b-instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

上下文长度60,000 个 token
输入
Text
输出
Text
2024年9月25日
Meta徽标
Meta: Llama 3.2 3B Instruct
meta/llama-3.2-3b-instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

上下文长度131,072 个 token
输入
Text
输出
Text
2024年9月25日
Meta徽标
Llama 3.2 1B Instruct
meta/llama-3.2-1b

Llama 3.2 1B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

提供商0/0
输入
Text
输出
Text
2024年9月25日
Meta徽标
Llama 3.2 3B Instruct
meta/llama-3.2-3b

Llama 3.2 3B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

上下文长度128,000 个 token
输入
Text
输出
Text
2024年9月25日
Meta徽标
Meta Llama 3.1 405B Instruct
meta/meta-llama-3.1-405b-instruct

A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.

提供商0/0
输入
Text
输出
Text
2024年7月23日
Meta徽标
Meta Llama 3.1 8B Instruct Turbo
meta/meta-llama-3.1-8b-instruct-turbo

A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.

提供商0/0
输入
Text
输出
Text
2024年7月23日
Meta徽标
Meta: Llama 3.1 70B Instruct
meta/llama-3.1-70b-instruct

Meta's Llama 3.1 class of model, launched in July 2024 with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

提供商0/0
输入
Text
输出
Text
2024年7月23日
Meta徽标
Llama 3.1 405B Instruct
meta/llama-3.1-405b

Llama 3.1 405B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

提供商0/0
输入
Text
输出
Text
2024年7月23日
Meta徽标
Llama 3.1 70B Instruct
meta/llama-3.1-70b

Llama 3.1 70B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

上下文长度131,072 个 token
输入
Text
输出
Text
2024年7月23日
Meta徽标
Llama 3.1 8B Instruct
meta/llama-3.1-8b

Llama 3.1 8B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

上下文长度131,072 个 token
输入
Text
输出
Text
2024年7月23日
Meta徽标
Llama 3 70B Instruct
meta/llama-3-70b

Llama 3 70B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

提供商0/0
输入
Text
输出
Text
2024年4月18日
Meta徽标
Llama 3 8B Instruct
meta/llama-3-8b

Llama 3 8B Instruct is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

提供商0/0
输入
Text
输出
Text
2024年4月18日
Meta徽标
Llama 2 13B Chat
meta/llama-2-13b-chat

Llama 2 13B Chat is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

提供商0/0
输入
Text
输出
Text
2023年6月20日
Meta徽标
Llama 2 70B Chat
meta/llama-2-70b-chat

Llama 2 70B Chat is a language model from Meta for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.

提供商0/0
输入
Text
输出
Text
2023年6月20日
Meta徽标
Llama 3 8b Lite
meta/llama-3-8b-lite

Llama 3 8b Lite is a language model from Meta for chat, writing, analysis, and general-purpose automation. It is tuned for lower latency and cost-sensitive production use.

提供商0/0
输入
-
输出
-
日期未知
Meta徽标
Llama Guard 3 8b
meta/llama-guard-3-8b

Llama Guard 3 8b is a safety model from Meta for moderation, prompt filtering, and policy enforcement. It is suited to input filtering, safety checks, and policy enforcement in LLM applications.

提供商0/0
输入
Text
输出
Text
日期未知
Meta徽标
Llama Guard 4 12b
meta/llama-guard-4-12b

Llama Guard 4 12b is a safety model from Meta for moderation, prompt filtering, and policy enforcement. It is suited to input filtering, safety checks, and policy enforcement in LLM applications.

上下文长度163,840 个 token
输入
TextImage
输出
Text
日期未知
Meta徽标
Llama Prompt Guard 2 22m
meta/llama-prompt-guard-2-22m

Llama Prompt Guard 2 22m is a safety model from Meta for moderation, prompt filtering, and policy enforcement. It is suited to input filtering, safety checks, and policy enforcement in LLM applications.

上下文长度512 个 token
输入
Text
输出
Text
日期未知
Meta徽标
Llama Prompt Guard 2 86m
meta/llama-prompt-guard-2-86m

Llama Prompt Guard 2 86m is a safety model from Meta for moderation, prompt filtering, and policy enforcement. It is suited to input filtering, safety checks, and policy enforcement in LLM applications.

上下文长度512 个 token
输入
Text
输出
Text
日期未知
Meta徽标
M2m100 1.2b
meta/m2m100-1.2b

Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation

提供商0/0
输入
Text
输出
Text
日期未知
已停止服务已停止服务模型
Meta徽标
Muse Spark Open (Free)
meta/muse-spark-open:free

Limited-time free Together offer for Muse Spark Open. Ends October 18, 2026 at 19:00 UTC. Requires an eligible Together account.

End of life
上下文长度1,000,000 个 token
输入
TextImageAudioVideo
输出
Text
2026年10月15日
Meta徽标
Muse Spark
meta/muse-spark

Muse Spark is a multimodal model from Meta that can work across text and visual inputs. It accepts text and image inputs and produces text outputs.

End of life
输入
TextImage
输出
Text
2026年4月8日
Meta徽标
Muse Spark Contemplating
meta/muse-spark-contemplating

Muse Spark Contemplating is a multimodal model from Meta that can work across text and visual inputs. It accepts text and image inputs and produces text outputs.

End of life
输入
TextImage
输出
Text
2026年4月8日
状态未知状态未知模型
Meta徽标
Llama 2 7B Chat
meta/llama-2-7b-chat

Llama 2 7B Chat is a language model from Meta for chat, writing, analysis, and general-purpose automation.

提供商0/0
输入
-
输出
-
日期未知
Meta徽标
Llama 3.2 11B Vision Instruct
meta/llama-3.2-11b-vision

Llama 3.2 11B Vision Instruct is a multimodal model from Meta that can work across text and visual inputs.

提供商0/0
输入
-
输出
-
日期未知
Meta徽标
Llama 3.2 90B Vision Instruct
meta/llama-3.2-90b-vision

Llama 3.2 90B Vision Instruct is a multimodal model from Meta that can work across text and visual inputs.

提供商0/0
输入
-
输出
-
日期未知
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