Meta · OpenAI-compatible
Muse Glimmer 30B API
Agentic reasoning and tool use, text only. $0.28 in, $1.10 out per 1M tokens.
| Model id | meta/muse-glimmer-30b |
| Input | $0.28 per 1M tokens |
| Output | $1.10 per 1M tokens |
| Context | 131,072 tokens |
| Input types | Text |
| Tool calling | Yes — tool_choice auto |
| JSON output | Not advertised |
| Data | Served only on dedicated GPUs we operate. Not stored, not used for training. If no GPU is online the request fails (503), never rerouted. |
Lower on input and output than the one provider listing it there, DeepInfra, at $0.30 / $1.20 per 1M tokens on OpenRouter. Checked 2026-10-31 22:40 UTC · source
Compare: vs DeepInfra · vs Together
Good for
- Agents that plan and call tools in a loop
- Reasoning over long text inputs
- Text in, text out (no image input)
Call it
curl https://synap.linkrra.com/v1/chat/completions \
-H "Authorization: Bearer $SYNAP_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "meta/muse-glimmer-30b", "messages": [{"role": "user", "content": "Hello"}]}'from openai import OpenAI
client = OpenAI(base_url="https://synap.linkrra.com/v1", api_key="sk-pool-...")
r = client.chat.completions.create(
model="meta/muse-glimmer-30b",
messages=[{"role": "user", "content": "Hello"}],
)
print(r.choices[0].message.content)Any OpenAI SDK works: change base_url to https://synap.linkrra.com/v1. Tool setup: guides.
Want to try before paying? The free tier covers qwen3-coder-30b.