Proprietary dense coding model from Meta, released August 5, 2026 alongside the Muse Code terminal agent. Native 1M-token context. Mandatory reasoning with five effort levels (minimal, low, medium, high, xhigh; medium default). Multimodal: text, image, video, audio, and PDF input; text output.
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Pricing (Meta Model API standard): $1.25/1M input, $4.25/1M output; cached input $0.15/1M.
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Pricing (Contributor tier): $0.10/1M input, $0.20/1M output - requires allowing Meta to train on your traffic and is rate-capped at 60 requests/minute vs ~3,000 for standard.
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Weights: Meta announced on August 10, 2026, that Muse Spark 1.2 weights would be released openly “in the coming weeks.”
Agents on Rails benchmark (Aug 2026, Le Mans round). 76.2% accuracy on 63 runs - eight points below GPT-5.6 Sol and about 3x Sol’s mean cost. The score is credible but not class-leading; watch for independent replication once the open weights and local tooling land.
AI-generated content marks
The provider reports that this model does not add embedded watermarks or provenance metadata to generated output.
Provider transparency docs →
coding
agentic
reasoning
- Context
- 1000k
- License
- proprietary
- Origin
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🇺🇸
USA
- Released
- Aug 2026
Or run it in the cloud
Live per-provider pricing, throughput and uptime - refreshed 3 months ago via OpenRouter. Click a column to sort.
some pricing may be stale - last verified 2026-08-07
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Provider
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Type
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Input $/M
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Output $/M
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Cache $/M
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Tok/s
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Latency
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Uptime
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Value
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API
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1.25 |
4.25 |
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cheapest
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Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.
PRICE HISTORY
Inference cost over time
Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.
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