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Meta: Muse Glimmer 30B (batch)

by Meta

7.9
Quality score / 10

Overview

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...

Our take

Unlike many contemporary AI chatbot alternatives such as Claude or ChatGPT, Meta: Muse Glimmer 30B is specifically designed for integration into autonomous agents, rather than direct user interaction. Its ability to accept image input and generate structured JSON outputs makes it suitable for tasks requiring both visual understanding and programmatic control. For example, a developer could use it to build an agent that analyses diagrams within a document (using vision capabilities) and then, based on that analysis, calls external functions (via tool calling) to automate a workflow. The built-in reasoning and chain-of-thought features are intended to help with more complex problems. However, its 131,072-token context window is smaller than most current models, which might be a limitation for very long-form tasks, and there is no free tier available. This model is best suited for developers building agent-style applications who need a multimodal model capable of structured outputs and tool calling, rather than those seeking a general-purpose conversational AI.

How Meta: Muse Glimmer 30B (batch) stacks up

Among the 374 chatbots & llms tools in our directory, it ranks #176 of 361 on quality (7.9/10), 1% below the 361-tool average of 8.0, and its $0.175/1M input-token rate is in the budget end — 90% cheaper than the 351-model average of $1.69/1M.

Weighing quality against cost, Meta: Muse Glimmer 30B (batch)'s cost-per-quality-point of $0.02 places it in the top 27% for value among chatbots & llms tools.

Meta: Muse Glimmer 30B (batch) in depth

Meta: Muse Glimmer 30B (batch), built by Meta, sits in the chatbots & llms space and is a paid tool starting at $0.17/1M tokens. Our editors rate it 7.9 out of 10 based on capability, ecosystem and value. It handles a context window of 131,072 tokens.

On the feature side, Meta: Muse Glimmer 30B (batch) brings 131,072-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is built-in reasoning (chain-of-thought) mode for harder problems, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

Meta: Muse Glimmer 30B (batch) is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
131,072 tokens
Free tier
No
Updated
2026-09-09

Key features

  • 131,072-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs

Pricing

$0.17/1M tokens
Pay per token
Paid$0.17/1M tokens
API input
$0.175 / 1M tokens
API output
$0.75 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows
  • +Can return structured JSON output for reliable parsing

Cons

  • No free tier — usage is billed per token
  • Context window of 131,072 tokens is smaller than most current models

Who should use Meta: Muse Glimmer 30B (batch)

  • Anyone looking for a chatbots & llms tool from Meta.
  • Teams and individuals focused on research and writing.
  • People who value built-in reasoning (chain-of-thought) mode for harder problems.
  • Workflows that need a 131,072 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.
  • Users who can't accept that context window of 131,072 tokens is smaller than most current models.

Best for

10 Best Meta: Muse Glimmer 30B (batch) Alternatives in 2026

Meta: Muse Glimmer 30B (batch) is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Meta: Muse Glimmer 30B (batch), ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
OpenAI: GPT-6 Astra (batch)Paid$5.00/1M tokens

OpenAI

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-6 Astra (batch) review →
5

OpenAI

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-6 Astra Pro (batch) review →
6
Qwen: Qwen3.8 Max (0902)Paid$2.00/1M tokens

Qwen

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max (0902) review →
7

Meta

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.3 Contributor review →
8
Meta: Muse Spark 1.3Paid$1.25/1M tokens

Meta

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.3 review →
9

Google

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.8 Flash (batch) review →
10

Anthropic

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Anthropic: Claude Fable 5.1 (batch) review →

Meta: Muse Glimmer 30B (batch) vs top alternatives

A side-by-side look at how Meta: Muse Glimmer 30B (batch) stacks up against its closest rivals.

FeatureMeta: Muse Glimmer 30B (batch)MetaClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score7.9 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.17/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.175 / 1M tokens$5 / 1M tokens$5 / 1M tokens$0.375 / 1M tokens
API output price$0.75 / 1M tokens$25 / 1M tokens$25 / 1M tokens$1.875 / 1M tokens
SpeedFastFastFast
Context window131,072 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 131,072-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Can return structured JSON output for reliable parsing
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • No free tier — usage is billed per token
  • Context window of 131,072 tokens is smaller than most current models
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is Meta: Muse Glimmer 30B (batch) free?

No — Meta: Muse Glimmer 30B (batch) is a paid tool, starting at $0.17/1M tokens.

Q. How much does Meta: Muse Glimmer 30B (batch) cost?

Meta: Muse Glimmer 30B (batch) starts at $0.17/1M tokens. API usage is around $0.175 per 1M input tokens and $0.75 per 1M output tokens.

Q. What is Meta: Muse Glimmer 30B (batch) best for?

Meta: Muse Glimmer 30B (batch) is best suited to research and writing, within the chatbots & llms category.

Q. What are the best Meta: Muse Glimmer 30B (batch) alternatives?

Popular alternatives to Meta: Muse Glimmer 30B (batch) include Claude, ChatGPT, Gemini and OpenAI: GPT-6 Astra (batch). Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Meta: Muse Glimmer 30B (batch)?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Meta: Muse Glimmer 30B (batch)?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Context window of 131,072 tokens is smaller than most current models), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

Ready to try Meta: Muse Glimmer 30B (batch)?

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Visit Meta: Muse Glimmer 30B (batch)