
Meta: Muse Glimmer 30B (batch)
meta/muse-glimmer-30b:batch
Model weightsMuse 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 agentic and coding workflows, with multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across more than 100 languages.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).
| $0.24 | $0.96 | $0.032 | -- | -- |
Input $0.24 / Output $0.96-- tok/s-- uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Muse Glimmer 30B (batch) — Price history
| $0.00 | $0.00 | 0.0% | 100.0% |
- Effective in $0.00 / Effective out $0.00Token share100.0%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Not enough uptime data to display yet.
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Muse Glimmer (High) Intelligence Index | 6.3 |
| Artificial Analysis | Muse Glimmer (High) Coding Index | 49.0 |
| Artificial Analysis | Muse Glimmer (High) Agentic Index | 8.5 |
| Artificial Analysis | Muse Glimmer (High) GPQA Diamond | 83.5% |
| Artificial Analysis | Muse Glimmer (High) HLE | 22.0% |
| Artificial Analysis | Muse Glimmer (High) AA-LCR | 83.3% |
| Artificial Analysis | Muse Glimmer (High) τ-Bench Banking | 23.5% |
| Artificial Analysis | Muse Glimmer (High) GDPval-AA | 14.6% |
| Artificial Analysis | Muse Glimmer (High) CritPt | 2.6% |
| Artificial Analysis | Muse Glimmer (High) SciCode | 44.9% |
| Artificial Analysis | Muse Glimmer (High) Terminal-Bench 4.0 | 0.5% |
| Artificial Analysis | Muse Glimmer (High) Terminal-Bench 2.1 | 51.7% |
| Artificial Analysis | Muse Glimmer (High) AA-Omniscience Accuracy | 28.0% |
| Artificial Analysis | Muse Glimmer (High) AA-Omniscience Non-Hallucination Rate | 16.4% |
| Design Arena | Muse Glimmer 30B (xhigh) Models Arena 3D Elo | 1066 |
| Design Arena | Muse Glimmer 30B (xhigh) Models Arena Code Categories Elo | 1159 |
| Design Arena | Muse Glimmer 30B (xhigh) Models Arena Game Development Elo | 1110 |
| Design Arena | Muse Glimmer 30B (xhigh) Models Arena UI Component Elo | 1201 |
| Design Arena | Muse Glimmer 30B (xhigh) Models Arena Website Elo | 1184 |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Not enough data for apps using this model yet.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
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 agentic and coding workflows, with multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across more than 100 languages.
Muse Glimmer 30B (batch) costs $0.24/M input tokens and $0.96/M output tokens, with separate rates for Cache Read at $0.032/M tokens.
Muse Glimmer 30B (batch) has a 131,072 token context window. It supports up to 16,384 completion tokens.
Yes. Muse Glimmer 30B (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Muse Glimmer 30B (batch) accepts text and images as input and returns text.
Muse Glimmer 30B (batch) is served by 1 provider on OpenRouter: DeepInfra.
Muse Ember, Muse Spark Open, Muse Wonder and 5 more are other text models from Meta.
Muse Glimmer 30B (batch) was released on August 9, 2026.