--- title: "Meta: Muse Spark 1.3 Contributor — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/meta__muse-spark-1.3-contributor/ description: "Meta: Muse Spark 1.3 Contributor: $0.100/M in, $0.200/M out. No LMArena general score in this catalogue — unrated, not ranked, not scored zero." --- # Meta: Muse Spark 1.3 Contributor — unrated, priced in this catalogue · Undominated.ai > Meta: Muse Spark 1.3 Contributor: $0.100/M in, $0.200/M out. No LMArena general score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/meta__muse-spark-1.3-contributor/) [Cheaper alternatives](/alternatives/) [Family](/families/muse/) [Compare models](https://undominated.ai/compare/?models=meta%2Fmuse-spark-1.3-contributor) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Muse Spark 1.3 Contributor Meta · 02 Sept 2026 Balanced Summarise Chat Code gen Agentic NO LMARENA GENERAL SCORE ## No LMArena general score is attached to this listing. **$0.125** / 1M tokens Balanced · 3 tokens in per 1 out Evidence as of 05 Nov 2026 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score No LMArena general score Context window 1.05M Maximum output 943.72K Input modalities text, image, video, file, audio Output modalities text Published input price $0.100 / 1M tokens Published output price $0.200 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Meta: the cheapest offer that is serving, at standard delivery, with at least 90% of the reference context and at the maker’s precision or better, at its standard rate. Every price dimension · USD per million tokens | Input | $0.100 /M | | --- | --- | | Output | $0.200 /M | | Cached input | $0.0020 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | | Web search | $0.0025 /call | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 1 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Meta meta Endpoint terms Cached input /M $0.0020 Context limit 1,048,576 tokens Output limit 943,718 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.100 | Output $0.200 | Precision undeclared | Uptime (1d) 100.00% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. ### Capability | Context window | 1M | | --- | --- | | Max output | 943K | | Input modes | text, image, video, file, audio | | Tool use | yes | | Reasoning | always on | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-11-05 | | Held | Input types kept at the [published record of 2026-10-06](https://undominated.ai/data/publications/inputs/63f8a51997f58a9ec6003d094c6846437f9a788564aebd07d91b53bfdcf08798.json) while a newer upstream value is reviewed. | | Quality data | unrated | Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information... ## Questions this page answers What does Muse Spark 1.3 Contributor cost? $0.100/M in, $0.200/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Muse Spark 1.3 Contributor have an independent quality score? Muse Spark 1.3 Contributor has no LMArena general score in this catalogue. Unrated is not a score of zero. What beats Muse Spark 1.3 Contributor? Muse Spark 1.3 Contributor has no LMArena general score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for Muse Spark 1.3 Contributor? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean Muse Spark 1.3 Contributor scored zero? Unrated is not a score of zero. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Meta: Muse Spark 1.3 Contributor. Balanced workload. Not rated on the LMArena general board. Evidence as of 05 Nov 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No LMArena general score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [Muse Wonder](/models/meta__muse-wonder/) - Meta models [Meta](/providers/meta/) - Where this model appears [effort](/effort/) - Same vendor [Muse Spark 1.3](/models/meta__muse-spark-1.3/) - Same vendor [Muse Spark 1.2](/models/meta__muse-spark-1.2/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Muse Spark 1.3 Contributor — Undominated.ai dominance verdict](https://undominated.ai/badge/meta__muse-spark-1.3-contributor.svg)](https://undominated.ai/models/meta__muse-spark-1.3-contributor/) HTML Copy Muse Spark 1.3 Contributor — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/meta__muse-spark-1.3-contributor.svg](https://undominated.ai/badge/meta__muse-spark-1.3-contributor.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)