Meta models
Beyond Llama, Meta publishes the Muse line under its own namespace. Zeplik carries Muse Glimmer 30B, with a batch serving.
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All 11 Meta models
Muse Spark Open is a coding-optimized open-weight model.
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.
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.
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification.
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.
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
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.
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.
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.
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.
Pricing at a glance
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Muse Spark Open | 1.0M | 15.0 | 51.0 | October 2026 |
| Muse Wonder | 1.0M | 48.0 | 240 | October 2026 |
| Muse Glimmer 30B | 131K | 3.6 | 14.4 | August 2026 |
| Llama Guard 4 12B | 164K | 2.2 | 2.2 | April 2025 |
| Llama 4 Maverick | 128K | 2.2 | 7.8 | April 2025 |
| Llama 4 Scout | 328K | 1.2 | 3.6 | April 2025 |
| Llama 3.3 70B Instruct | 131K | 1.2 | 3.8 | December 2024 |
| Llama 3.2 1B Instruct | 60K | 0.32 | 2.4 | September 2024 |
| Llama 3.2 3B Instruct | 80K | 0.61 | 4.0 | September 2024 |
| Llama 3.1 8B Instruct | 131K | 0.60 | 0.96 | July 2024 |
| Llama 3.1 70B Instruct | 131K | 8.6 | 8.6 | July 2024 |
Frequently asked questions
- Which Meta models can I use on Zeplik?
- Zeplik carries 11 Meta models: Muse Spark Open, Muse Wonder, Muse Glimmer 30B, Llama Guard 4 12B and Llama 4 Maverick, and 6 more. They all run in the same chat, so you do not need a separate Meta account or API key.
- How much do Meta models cost on Zeplik?
- Output tokens run from 0.96 to 240 credits per million depending on which Meta model you pick (raw provider rates $0.080 to $20.00 per million). 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which Meta model has the largest context window?
- Muse Spark Open, at 1.0M tokens (1,048,576). The context window covers the conversation plus any documents you attach.
- Do Meta models support images and tool calling?
- 6 of the 11 accept image input, and 8 support tool calling.
- Do I need a paid plan to use Meta models on Zeplik?
- 1 of the 11 is open to free accounts; the other 10 need a paid plan (Plus or above).
- What is the newest Meta model on Zeplik?
- Muse Spark Open, released October 2026. Muse Spark Open is a coding-optimized open-weight model.
Other providers
- OpenAI (71)
- Qwen (41)
- Google (40)
- Mistral (21)
- Z.ai (19)
- Anthropic (18)
- DeepSeek (15)
- MoonshotAI (9)
- All models
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