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Meta: Muse Ember

meta/muse-ember

Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing, extraction, and long document parsing.

Muse Ember accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context window.

Modalities
In / out price
$0.10 / $0.50per 1M
Context
1.0M
Released
Nov 9, 2026

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).

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

Input
$0.02437/M tokens
Output
$0.4998/M tokens
Price history
No effective price data for this selection

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).

Throughput
256tok/s

P50, best across providers

Latency
1.88s

P50, best provider

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.

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
98.87%

Availability over the last 3 days

Last 72 hours
Availability 98.87%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
98.56%
Without Routing
91.40%

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.

Benchmark score summary for Meta: Muse Ember (Vals AI)
SourceBenchmarkScore
Vals AIMuse Ember EMB v1.172.2%
Vals AIMuse Ember Finance Agent v2.163.8%
Vals AIMuse Ember Vals Finance Index60.9%
Vals AIMuse Ember HLAB-Vals-1.125.0%
Vals AIMuse Ember Vals Legal Index75.7%
Vals AIMuse Ember Legal Research Bench49.0%
Vals AIMuse Ember Tax Agent Bench38.2%
Vals AIMuse Ember Terminal-Bench 4.039.4%
Vals AIMuse Ember Vals Index60.5%
Vals AIMuse Ember Vibe Code Bench v1.183.7%

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.

1.
38.1Btokens
2.
Favicon for https://freebuff.com/
Freebuff
16.4Btokens
3.
Favicon for https://pi.dev/
pi
14.3Btokens
4.
Favicon for https://nousresearch.com
Hermes Agent
13.2Btokens
5.
10.6Btokens
Rest of OpenRouter
64.4B
Top 5 Apps
41.5B

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