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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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...
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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...
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...
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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...
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...
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...
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...
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'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'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...
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...
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...
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...
No provider description is available for this model yet.
No provider description is available for this model yet.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| meta-llama/Llama-2-13b-hfmeta-llama/Llama-2-13b-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/Llama-2-7b-hfmeta-llama/Llama-2-7b-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/Llama-2-70b-chatmeta-llama/Llama-2-70b-chat | Meta |
Not documented | — | — | — | ||
| meta-llama/Llama-2-13b-chatmeta-llama/Llama-2-13b-chat | Meta |
Not documented | — | — | — | ||
| meta-llama/Llama-2-7b-chatmeta-llama/Llama-2-7b-chat | Meta |
Not documented | — | — | — | ||
| meta-llama/Llama-2-70bmeta-llama/Llama-2-70b | Meta |
Not documented | — | — | — | ||
| Meta: Muse Glimmer 30B (batch)meta/muse-glimmer-30b:batch | Meta |
131.072K | $0.175 | $0.75 | — | ||
| meta-llama/Llama-2-13bmeta-llama/Llama-2-13b | Meta |
Not documented | — | — | — | ||
| meta-llama/Llama-2-7bmeta-llama/Llama-2-7b | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-70b-Instruct-hfmeta-llama/CodeLlama-70b-Instruct-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-70b-Python-hfmeta-llama/CodeLlama-70b-Python-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-70b-hfmeta-llama/CodeLlama-70b-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-34b-Instruct-hfmeta-llama/CodeLlama-34b-Instruct-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-34b-Python-hfmeta-llama/CodeLlama-34b-Python-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-34b-hfmeta-llama/CodeLlama-34b-hf | Meta |
Not documented | — | — | — | ||
| Meta: Llama 3.2 11B Vision Instructmeta-llama/llama-3.2-11b-vision-instruct | Meta |
131.072K | $0.345 | $0.345 | — | ||
| meta-llama/CodeLlama-13b-Python-hfmeta-llama/CodeLlama-13b-Python-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-13b-hfmeta-llama/CodeLlama-13b-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-7b-Instruct-hfmeta-llama/CodeLlama-7b-Instruct-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-7b-Python-hfmeta-llama/CodeLlama-7b-Python-hf | Meta |
Not documented | — | — | — | ||
| meta-llama/CodeLlama-7b-hfmeta-llama/CodeLlama-7b-hf | Meta |
Not documented | — | — | — | ||
| Meta: Llama 3.3 70B Instruct (free)meta-llama/llama-3.3-70b-instruct:free | Meta |
65.536K | Free | Free | — | ||
| Meta: Llama 3.2 3B Instruct (free)meta-llama/llama-3.2-3b-instruct:free | Meta |
131.072K | Free | Free | — | ||
| meta-llama/CodeLlama-13b-Instruct-hfmeta-llama/CodeLlama-13b-Instruct-hf | Meta |
Not documented | — | — | — | ||
| Meta: Muse Spark 1.3 Contributormeta/muse-spark-1.3-contributor | Meta |
1.04858M | $0.1 | $0.2 | — | ||
| Meta: Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct | Meta |
60K | $0.027 | $0.201 | — | ||
| Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | Meta |
131.072K | $0.05 | $0.33 | — | ||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | Meta |
128K | $0.2 | $0.696 | — | ||
| Meta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instruct | Meta |
131.072K | $0.1 | $0.32 | — | ||
| Meta: Llama 3.1 70B Instructmeta-llama/llama-3.1-70b-instruct | Meta |
131.072K | $0.4 | $0.4 | — | ||
| Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct | Meta |
131.072K | $0.05 | $0.08 | — | ||
| Meta: Llama Guard 4 12Bmeta-llama/llama-guard-4-12b | Meta |
163.84K | $0.18 | $0.18 | — | ||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | Meta |
327.68K | $0.1 | $0.3 | — | ||
| Meta: Muse Spark 1.2 Contributormeta/muse-spark-1.2-contributor | Meta |
1.04858M | $0.1 | $0.2 | — | ||
| meta-llama/Meta-Llama-3-8B-Instructmeta-llama/Meta-Llama-3-8B-Instruct | Meta |
Not documented | — | — | — | ||
| meta-llama/Meta-Llama-3-70B-Instructmeta-llama/Meta-Llama-3-70B-Instruct | Meta |
Not documented | — | — | — |