---
title: "Meta: Muse Spark 1.2 Contributor — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/meta__muse-spark-1.2-contributor/
description: "Meta: Muse Spark 1.2 Contributor: $0.100/M in, $0.200/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Meta: Muse Spark 1.2 Contributor — price, capability and what beats it · Undominated.ai

> Meta: Muse Spark 1.2 Contributor: $0.100/M in, $0.200/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Meta

# Muse Spark 1.2 Contributor

Meta · released 2026-08-21 · proprietary

 $0.125 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## No independent quality score.

No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.

## Our take

 editorial — not a measurement

A deliberately cheap tier of Muse Spark 1.2 at $0.10/$0.20 with the same 1M context and full multimodal input, plus a $0.002 cache-read rate that is the lowest in the dataset. If the capability is anywhere near the flagship's, the price-per-capability is extraordinary. Meta describes it as aimed at developers starting out at low cost, which implies throughput or priority constraints that are not documented anywhere reachable. Worth a serious evaluation precisely because the published numbers look too good.

### Strengths

 - $0.10/$0.20 with a 1M context window
- $0.002 cache reads — lowest in the dataset
- Full multimodal input including audio and video
- Same nominal architecture as the 1498-Elo flagship

### Weaknesses

 - Undocumented constraints implied by the 'contributor' framing
- No benchmark score of its own
- No first-party pricing page
- Relationship to flagship quality is unverified

### Reach for it when

 - Cost-floor multimodal experimentation
- High-volume cache-heavy pipelines

### Avoid it if

 - You need documented SLAs or throughput guarantees
- Production work where undocumented limits are unacceptable

Sources: openrouter.ai

### Every price dimension

| Input | $0.100 /M |
| --- | --- |
| Output | $0.200 /M |
| Cached input | $0.0020 /M |
| Web search | $0.0025 /call |

### Independent scores

No independent benchmark has measured this model.

### Capability

| Context window | 1.0M |
| --- | --- |
| Input modes | text, image, video, file, audio |
| Tool use | yes |
| Reasoning | always on |
| Open weights | no |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | unrated |
| Cross-checked | vendor page |

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...