Meta model product
Muse Glimmer-30B is Meta Superintelligence Labs' open-weight, dense multimodal model for autonomous agentic work on consumer hardware.
Updated Aug 17, 2026. Default version: Muse Glimmer-30B
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Muse Glimmer-30B.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAA-LCR | Score80.0% | Rank01 | Participants18 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkBeam 128K | Score65.1% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkCI Memories Coverage | Score64.8% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkCI Memories Violation Rate | Score26.4% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkGAIA2 | Score43.3% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkSiren AgentDojo Attack Success Rate | Score28.4% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkSiren AgentDojo Utility | Score94.2% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkTau3 Banking | Score23.5% | Rank02 | Participants7 | Percentile83.3% | EvidenceC | Evaluated |
| BenchmarkWildClawBench | Score47.6% | Rank04 | Participants5 | Percentile25.0% | EvidenceC | Evaluated |
| BenchmarkScreenSpot Pro | Score75.4% | Rank06 | Participants25 | Percentile79.2% | EvidenceC | Evaluated |
| BenchmarkSkillsBench | Score44.3% | Rank07 | Participants8 | Percentile14.3% | EvidenceC | Evaluated |
| BenchmarkAIME 2026 | Score94.7% | Rank08 | Participants21 | Percentile65.0% | EvidenceC | Evaluated |
| BenchmarkDeepSearchQA | Score74.6% | Rank09 | Participants9 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score77.0% | Rank09 | Participants34 | Percentile75.8% | EvidenceC | Evaluated |
| BenchmarkSciCode | Score43.6% | Rank11 | Participants21 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkMCP Atlas | Score75.5% | Rank13 | Participants33 | Percentile62.5% | EvidenceC | Evaluated |
| BenchmarkOmniDocBench 1.5 | Score75.8% | Rank14 | Participants18 | Percentile23.5% | EvidenceC | Evaluated |
| BenchmarkOSWorld-Verified | Score65.9% | Rank18 | Participants24 | Percentile26.1% | EvidenceC | Evaluated |
| BenchmarkCharXiv-R | Score78.8% | Rank24 | Participants51 | Percentile54.0% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.1 | Score51.7% | Rank27 | Participants28 | Percentile3.7% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score74.0% | Rank36 | Participants68 | Percentile47.8% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score76.0% | Rank36 | Participants111 | Percentile68.2% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Pro | Score51.2% | Rank46 | Participants50 | Percentile8.2% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score22.0% | Rank61 | Participants99 | Percentile38.8% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score83.5% | Rank69 | Participants239 | Percentile71.4% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenawebdev | Categoryoverall | Rank80 | Rating / score1359.0 | Votes1,506 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank98 | Rating / score1426.0 | Votes3,709 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryoverall | Rank130 | Rating / score1403.2 | Votes3,709 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank143 | Rating / score1390.5 | Votes3,709 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDmeta/muse-glimmer-30b | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context131.1K | Updated |
| ProviderEmpirioLabs AI | Provider model IDmuse-glimmer-30b | Regionglobal | Input / 1M$0.20 | Output / 1M$0.80 | Context131.1K | Updated |
| ProviderEden AI | Provider model IDdeepinfra/meta-models/Muse-Glimmer-30B | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context131.1K | Updated |
| ProviderEden AI | Provider model IDflexai/Muse-Glimmer-30B | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context131.1K | Updated |
| ProviderKilo Gateway | Provider model IDmeta/muse-glimmer-30b | Regionglobal | Input / 1M$0.30 | Output / 1M$1.2 | Context131.1K | Updated |
| ProviderNanoGPT | Provider model IDmeta/muse-glimmer-30b | Regionglobal | Input / 1M$0.35 | Output / 1M$1.5 | Context131.1K | Updated |
| ProviderOpenRouter | Provider model IDmeta/muse-glimmer-30b | Regionglobal | Input / 1M$0.35 | Output / 1M$1.5 | Context131.1K | Updated |
| ProviderVercel AI Gateway | Provider model IDmeta/muse-glimmer-30b | Regionglobal | Input / 1M$0.35 | Output / 1M$1.5 | Context131.1K | Updated |
| ProviderEden AI | Provider model IDtogether_ai/meta-models/Muse-Glimmer-30B | Regionglobal | Input / 1M$0.35 | Output / 1M$1.5 | Context131.1K | Updated |
| ProviderEden AI | Provider model IDfireworks_ai/accounts/fireworks/models/muse-glimmer-30b | Regionglobal | Input / 1M$0.35 | Output / 1M$1.5 | Context131.1K | Updated |
| ProviderFireworks AI | Provider model IDaccounts/fireworks/models/muse-glimmer-30b | Regionglobal | Input / 1M$0.35 | Output / 1M$1.5 | Context131.1K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Muse Glimmer-30B. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMuse Glimmer-30B | Released | LLMBoard58.5 | Parameters29.6B | Context131.1K | Max output131.1K | Open weightsYes | LicenseApache 2.0 |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Muse Glimmer 30B and its available data.
Muse Glimmer-30B is Meta Superintelligence Labs' open-weight, dense multimodal model for autonomous agentic work on consumer hardware. 8B-parameter ViT-G/14 perception encoder, accepts interleaved text and images, produces text, and supports a 131,072-token context window.
It combines controllable multi-step reasoning, schema-based tool use, coding, failure recovery, and compatibility with agent scaffolds such as OpenClaw and Hermes Agent. Meta also releases 4-bit variants sized for 24 GB and 32 GB systems and a DFlash speculative-decoding drafter. 0.
Data as of 2026-08-17.
Common questions about Muse Glimmer 30B.
Muse Glimmer 30B's default version was released on Aug 10, 2026.
No official standard PAYG price is currently available for Muse Glimmer 30B. The lowest tracked third-party offer starts at $0.20 input and $0.80 output via EmpirioLabs AI.
Muse Glimmer 30B was created by Meta.
The default version has a 131.1K token context window.
Yes. The default version is marked as open weight under Apache 2.0.
11 provider offerings are linked to the default version.
Nearby ranked alternatives include MiniMax M2.7, Qwen3.5 122B A10B, ERNIE 5.0.