Data updated 2026-10-17.
Price spread

Muse Spark Open

meta-llama/muse-spark-open

Meta· 2026-10-15· 1.0M ctx
API onlytool callreasoningstructured quant: unknown

spread (output, p90 ÷ p10)

1.0×

$4.25 – $5.31 · 5 providers · max÷min 1.3×

5 providers priced · 5 offerings

Cheapest / median / spread use providers that serve the model on their own capacity: first-party lab, hyperscaler, inference host.

Provider classes in the stats:
Blended $/M assumptions

blended = 90.9% input × [(1 − 70% cache) × input + 70% cache × cache-read] + 9.1% × output + cache writes (30% of uncached input) where a write price is published

A provider that publishes no cache price is blended with cache share 0 (all input at the input price) and labelled “no cache price published” — never penalised against identical in/out prices.

ProviderInputOutputCache rdBlended
Vercel AI Gateway
router / aggregator
$1.25$4.25$0.15$0.82
Eden AI
router / aggregator
$1.25$4.25$1.25$1.52
Fireworks AI
inference host
$1.25$4.25$0.15$0.82
Kilo Gateway
router / aggregator
$1.25$4.25$0.15$0.82
Merge Gateway
router / aggregator
$1.25$4.25$0.15$0.82
NanoGPT
router / aggregator
$1.25$4.25$0.15$0.82
Nebius Token Factory
inference host
$1.25$4.25$1.25$1.52
Ollama Cloud
inference host
$1.25$4.25$0.15$0.82
OpenRouter
router / aggregator
$1.25$4.25$0.15$0.82
Prime Inference
unclassified
$1.25$4.25—$1.52no cache price published
Requesty
router / aggregator
$1.25$4.25$0.15$0.82
Together AI
inference host
$1.25$4.25$0.15$0.82
Venice AIoutlier
inference host
$1.56$5.31$0.19$1.03

Data: models.dev (MIT), snapshot 2026-10-17. Prices are vendor-published; verify before purchase. Methodology.