Models

meta-llama/llama-3.1-70b-instruct

$0.720/M input

$0.720/M output

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

Meta: Llama 3.1 8B Instruct

meta-llama/llama-3.1-8b-instruct

$0.020/M input

$0.040/M output

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

Meta: Llama 3.2 1B Instruct

meta-llama/llama-3.2-1b-instruct

$0.027/M input

$0.201/M output

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...

Meta: Llama 3.2 3B Instruct

meta-llama/llama-3.2-3b-instruct

$0.050/M input

$0.330/M output

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...

Meta: Llama 3.3 70B Instruct

meta-llama/llama-3.3-70b-instruct

$0.710/M input

$0.710/M output

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

Meta: Llama 4 Maverick

meta-llama/llama-4-maverick

$0.350/M input

$1.00/M output

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

Meta: Llama 4 Scout

meta-llama/llama-4-scout

$0.100/M input

$0.300/M output

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

Meta: Llama Guard 4 12B

meta-llama/llama-guard-4-12b

$0.180/M input

$0.180/M output

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...

Meta: Muse Ember

by MetaVisionFilesAudio inVideo in

meta/muse-ember

$0.100/M input

$0.500/M output

Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...

Meta: Muse Glimmer 30B

meta/muse-glimmer-30b

$0.300/M input

$1.20/M output

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

Meta: Muse Glimmer 30B (batch)

meta/muse-glimmer-30b:batch

$0.240/M input

$0.960/M output

Meta: Muse Spark 1.1

meta/muse-spark-1.1

$1.25/M input

$4.25/M output

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....

Meta: Muse Spark 1.2

meta/muse-spark-1.2

$1.25/M input

$4.25/M output

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....

Meta: Muse Spark 1.2 Contributor

meta/muse-spark-1.2-contributor

$0.100/M input

$0.200/M output

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

Meta: Muse Spark 1.3

meta/muse-spark-1.3

$1.25/M input

$4.25/M output

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

Meta: Muse Spark 1.3 Contributor

meta/muse-spark-1.3-contributor

$0.100/M input

$0.200/M output

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

Meta: Muse Spark Open

by MetaVisionFilesAudio inVideo in

meta/muse-spark-open

$1.25/M input

$4.25/M output

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

Meta: Muse Wonder