meta
Meta: Muse Spark 1.2 Contributor
meta/muse-spark-1.2-contributor
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog entry, meta/muse-spark-1.2-contributor is a reasoning-focused model from Meta positioned as a lower-cost contributor tier of Muse Spark, aimed at developers starting to build. The catalog lists multimodal inputs (text, image, video, and files) with text output, a context window of roughly one million tokens, always-on reasoning with adjustable effort, and support for tools and structured outputs. No benchmark results or independent model card were included in this source pack, so measured quality, speed, and real-world cost behavior remain unverified and should be validated on your own workloads.[1]
Strengths
- Catalog-reported multimodal inputs: text, image, video, and files, with text-only output.[1]
- Reasoning with five selectable effort levels from minimal to extra-high; medium is the catalog default.[1]
- Context window of about one million tokens, plus tool calling and structured-output support per the catalog.[1]
Limitations
- Only OpenRouter catalog data was supplied; an independent model card was not available in this source pack.[1]
- No benchmark or quality measurements were included; the catalog's benchmark fields are empty, so performance is unverified.[1]
- The catalog marks reasoning as mandatory; knowledge cutoff, license terms, and hardware requirements are not stated.[1]
Where to use it
- Cost-sensitive prototyping of reasoning features, given its lower-cost tier positioning; validate actual spend per workload.[1]
- Multimodal document or media analysis workflows that can accept text-only output.[1]
- Agent-style applications needing tool calls or structured outputs over long contexts, pending accuracy testing.[1]
Sources
- [1] OpenRouter catalog · Meta: Muse Spark 1.2 ContributorSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...
Specifications
- Model ID
- meta/muse-spark-1.2-contributor
- Canonical ID
- meta/muse-spark-1.2-contributor-20260805
- Creator
- meta
- Added to OpenRouter
- 21.08.2026
- Context length
- 1,048,576
- Modality
- text+image+file+video->text
- Input modalities
- text, image, video, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.100 / out $0.200
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low, minimal · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Meta | 1,048,576 | $0.100 | $0.200 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.