Muse Glimmer 30B API

meta/muse-glimmer-30b
Muse Glimmer 30B is Meta's multimodal chat model with a 131K-token context window, combining vision, reasoning and tool use.
Context
128K tokens
Input
$0.3703 / 1M tokens
Output
$1.587 / 1M tokens
Released
Aug 10, 2026

Overview

What is Muse Glimmer 30B?

Muse Glimmer 30B is a multimodal chat model from Meta, accepting text and image input and returning text output. It supports a 131,072-token context window, suitable for long documents, codebases and multi-turn conversations that need to retain a large amount of context.

API Pricing

  • Input: $0.455 / 1M tokens
  • Cached input: $0.052 / 1M tokens
  • Output: $1.95 / 1M tokens

Capabilities

The model supports reasoning, streaming responses, structured outputs and function/tool calling, along with vision (image understanding), making it suitable for agentic and research-oriented applications.

Released August 10, 2026.

Uptime and performance

  • Uptime (7d): 100%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Muse Glimmer 30B is documented as suited to local AI agents that perform multi-step planning, sequential tool invocation, failure recovery, and long-horizon task execution. It is also suited to coding agents for writing, debugging, and resolving real-world software engineering tasks. It is documented for multimodal reasoning, including interpreting screenshots, charts, documents, and images alongside conversation. It is also suited to LLM-as-a-judge evaluation, serving as an evaluator for other models’ outputs.

How to use Muse Glimmer 30B API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to meta/muse-glimmer-30b.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "meta/muse-glimmer-30b",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "meta/muse-glimmer-30b",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta/muse-glimmer-30b","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Muse Glimmer 30B API Pricing

TypePrice
Input
$0.3703 / 1M tokens
Output
$1.587 / 1M tokens
Cached input
$0.04232 / 1M tokens

Muse Glimmer 30B Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
GPQA Diamond
83.5
Google-proof graduate science questions (hardest subset)SourceSeptember 21, 2026
SWE-bench Verified
76.0
Resolving verified real GitHub issuesSourceSeptember 21, 2026

Muse Glimmer 30B vs other models

ModelInputOutputContextBest for
$0.3703 / 1M tokens
$1.587 / 1M tokens
128K tokens
Multimodal reasoning and tool use
$5 / 1M tokens
$25 / 1M tokens
1M tokens
Complex agentic coding and enterprise workflows
$1.5 / 1M tokens
$7.5 / 1M tokens
1M tokens
Reasoning + agents
$1.587 / 1M tokens
$9.522 / 1M tokens
400K tokens
Reasoning + agents
$3 / 1M tokens
$15 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows

Frequently asked questions

Muse Glimmer 30B has a 131,072 tokens context window.

Muse Glimmer 30B takes image, text as input and returns text.

Use meta/muse-glimmer-30b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Muse Glimmer 30B became available on August 10, 2026.

Muse Glimmer 30B is priced at input $0.48139 / 1M tokens, output $2.0631 / 1M tokens, cached input $0.055016 / 1M tokens.

Yes, Muse Glimmer 30B can stream responses as they are generated.

Yes, Muse Glimmer 30B accepts image input alongside text.

Muse Glimmer 30B was built by Meta.

Yes, it supports function calling with parallel tool calls, and includes a reasoning feature.

Yes, it supports structured outputs as one of its listed features.

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