Context
1M
Max output
131K
Serving providers
2
Cheapest input
$1.25 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.

Benchmarks

independent evaluations · source: Artificial Analysis
Speed & latency
Output speed
197 t/s
tokens / second
Time to first token
1.43s
latency
Headline indices
71.3
of 100
39.7
of 100
Individual benchmarks · click a row for effort variants
BenchmarkBest scoreEffortCost / task
Automation Bench0.4default
CritPt15%default
GDPval1374.2default
GPQA Diamond90%default
Harvey Lab0.9default
Humanity's Last Exam46%default
Long-Context Reasoning81%default
Omniscience28.1default
Omniscience Accuracy0.5default
Omniscience Non Hallucination0.5default
SciCode58%default
TerminalBench v2.178%default
τ-bench Banking32%default

Pricing by serving provider

standard tier · per 1M tokens · click a provider to expand
Serving providerInput /1MOutput /1MEndpoints
MetaCheapest$1.25$4.251
EndpointStd inStd outCached inBatch in / outModel ID
StandardCheapest$1.25$4.25$0.15meta/muse-spark-1.1
OpenRouterCheapest$1.25$4.251

Price history

input + output $/1M since we started tracking
Input Output
$0.000$2.00$4.00$6.00Jul 12Jul 19$4.25$1.25

Cost calculator

estimate your monthly spend on this model
$590
estimated / month

Model IDs

copy the exact identifier for your platform
meta/muse-spark-1.1meta/muse-spark-1.1

Frequently asked questions

Muse Spark 1.1 pricing, context and availability

How much does Muse Spark 1.1 cost?

Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens at its cheapest provider via Meta.

What is the context window of Muse Spark 1.1?

Muse Spark 1.1 accepts up to 1M tokens of context and can return up to 131K output tokens.

Which providers serve Muse Spark 1.1?

Muse Spark 1.1 is available from 2 serving providers, each with its own pricing and model ID. Meta is currently the cheapest.

What can Muse Spark 1.1 do?

Muse Spark 1.1 supports image input (vision), tool use, reasoning, prompt caching, structured output and web search.

Other Other models

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