Released August 9, 2026 — the first model from Meta Superintelligence Labs and Meta's return to a genuinely permissive licence. No Meta API price; hosted rates from third parties such as Together and OpenRouter land around $0.35/$1.50. Local hardware targets: 24GB for K-Quant-17GB, 32GB for K-Quant-Dynamic, 64GB for full precision.
76.0% on SWE-bench Verified — strong for a 30B dense model
Apache 2.0 licence with no restrictions on commercial use, modification or redistribution
Designed for long tool-call chains and failure recovery, with multimodal input and reasoning
Weaknesses
Qwen3.6-27B beats it on several practical agent and multimodal tests in Meta's own comparison table
Meta publishes no first-party API price — you pay a third-party host or run it yourself
131K context is small next to the 1M-token field
Real-world use cases
What people actually use Muse Glimmer 30B for.
Always-on local agents that make many sequential tool calls and must recover from failures
Commercial products that need unrestricted weights — Apache 2.0, no usage caps or redistribution limits
Running a capable agent model on a single 24GB or 32GB GPU via quantisation
How Muse Glimmer 30B compares
The nearest models people weigh against it, and what actually separates them.
vs DeepSeek V4.1 Flash — Against DeepSeek V4.1 Flash (DeepSeek), Muse Glimmer 30B costs about 19% more per token and gives up 8x on context. DeepSeek V4.1 Flash is the one to check first if the price difference matters more than the ceiling.
vs Muse Spark 1.3 — Against Muse Spark 1.3 (Meta), Muse Glimmer 30B runs about 66% cheaper per token, gives up 8x on context and answers faster. Take Muse Glimmer 30B unless you specifically need what Muse Spark 1.3 does better.
vs Muse Spark — Against Muse Spark (Meta), Muse Glimmer 30B runs about 66% cheaper per token, gives up 8x on context and answers faster. Take Muse Glimmer 30B unless you specifically need what Muse Spark does better.
Price History
Muse Glimmer 30B pricing over time
→0% since Sep 1
43 data points · tracked daily since Sep 1, 2026
Ready to try it?
Start using Muse Glimmer 30B
Local and self-hosted agents that run continuously. Start free — no card required.
DeepSeek's September 10, 2026 release, now its top API model: a natively multimodal, MIT-licensed model with 1M context that DeepSeek says beats its own V4-Pro on coding and agent work — V4-Pro traffic has been routed to it since September 14.
Verdict
DeepSeek's open, cheap new default — V4-Pro now routes to it.
Quality score
84%
Pricing
$0.30/1M in
$1.20/1M out
Speed
Fast
4/5 speed
Context
1.0M tokens
Released September 10, 2026; previous V4 Flash and V4 Flash Vision endpoints taken offline the same day. From September 14, 2026, requests to deepseek-v4-pro are served by V4.1 Flash at Flash rates until a V4.1-Pro ships. Gateway id deepseek/deepseek-v4.1-flash; gateway price $0.30/$1.20 per 1M (varies by host; DeepSeek's own API uses peak and off-peak rates). 1,048,576 context, 32,768 max output on the gateway. Weights on Hugging Face, MIT licence. Verified October 10, 2026.
Meta's September 2, 2026 update to Muse Spark — a multimodal reasoning model for long-horizon agent and coding work, with a 1M context and native understanding of video, images and documents.
Verdict
Muse Spark with better tool calling and first-try accuracy, same price.
Quality score
86%
Pricing
$1.25/1M in
$4.25/1M out
Speed
Balanced
3/5 speed
Context
1.0M tokens
Released September 2, 2026. Gateway id meta/muse-spark-1.3. $1.25/$4.25 per 1M. 1,048,576 context and max output; text, image and PDF input. No benchmark table published for this point release. Verified October 10, 2026.
MultimodalAgenticLong contextNew
Best for
Coding agents and multimodal workflows that need few turns and clean output
Meta Superintelligence Labs' first closed frontier model — a natively multimodal agentic reasoner (text, image, video, audio, PDF in) with a parallel-agent 'Contemplating mode', priced aggressively below rivals.
Verdict
Best-value multimodal agentic model — GPT-5.5-tier smarts, video/audio/PDF in.
Quality score
89%
Pricing
$1.25/1M in
$4.25/1M out
Speed
Balanced
3/5 speed
Context
1.0M tokens
v1.0 launched April 8, 2026 alongside Llama 5; v1.1 (July 9) opened the paid API; v1.2 (Aug 5) is coding-focused and powers Muse Code. Built with 'over an order of magnitude less' pretraining compute than Llama 4 Maverick. Cache hits $0.15/1M.
MultimodalAgenticValue1M context
Best for
Agentic tool-use and multimodal reasoning at aggressive pricing
Muse Glimmer 30B costs $0.35 per million input tokens and $1.5 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $6.50 at list price, before any batch or caching discounts.
What is the context window of Muse Glimmer 30B?
Muse Glimmer 30B has a 131k tokens context window, with up to 131k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is the knowledge cutoff of Muse Glimmer 30B?
Muse Glimmer 30B's training data runs through January 4, 2026, and the model was released on August 10, 2026. For anything after that date it needs web search or documents in the prompt.
What is Muse Glimmer 30B best for?
Muse Glimmer 30B is best for local and self-hosted agents that run continuously. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Muse Glimmer 30B?
You need a large context window or the strongest agent scores at this size — check Qwen's 27B first.
What is a cheaper alternative to Muse Glimmer 30B?
DeepSeek V4.1 Flash (DeepSeek) at $0.30/1M/1M input against Muse Glimmer 30B's $0.35/1M/1M — roughly 19% less per token all in. DeepSeek's open, cheap new default — V4-Pro now routes to it. Compare it first if Muse Glimmer 30B's pricing is the thing stopping you.
What is a faster alternative to Muse Glimmer 30B?
Muse Spark 1.3 — balanced against Muse Glimmer 30B's fast, with 1.0M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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