---
title: "Meta: Muse Spark 1.2 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/meta__muse-spark-1.2/
description: "Meta: Muse Spark 1.2: $1.25/M in, $4.25/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

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

> Meta: Muse Spark 1.2: $1.25/M in, $4.25/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Meta

# Muse Spark 1.2

Meta · released 2026-08-05 · proprietary

 $2.00 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## Nothing is both better and cheaper.

Under a balanced workload, no other model in the catalogue scores higher *and* costs less. This model is on the value frontier.

## Our take

 editorial — not a measurement

Meta's current frontier entry and a real one — LMArena 1498 at xHigh effort puts it fourth overall, above every OpenAI model on that board. At $1.25/$4.25 with a 1M window and the broadest modality set in the dataset (text, image, video, file, audio input) it is aggressively priced for the position. The catch is that it appears to be proprietary despite Meta's open-weight history: no Hugging Face repo is listed and no first-party Meta API pricing page could be found, so the only price signal is the OpenRouter listing. A separate 'contributor' tier exists at $0.10/$0.20.

### Strengths

 - LMArena 1498 at xHigh — 4th overall, above all OpenAI entries
- $1.25/$4.25 for frontier-class placement
- Widest input modality set here: text, image, video, file, audio
- 1M context window

### Weaknesses

 - No first-party Meta pricing page located — OpenRouter is the only source
- No Hugging Face repo; appears proprietary despite Meta's Llama history
- No AA intelligence score captured
- Max output tokens not published

### Reach for it when

 - Multimodal frontier work at mid-tier prices
- Audio and video input pipelines

### Avoid it if

 - You require first-party vendor pricing before adopting
- You need open weights from Meta — use Llama 4 or Muse Glimmer

Sources: openrouter.ai · arena.ai

### Every price dimension

| Input | $1.25 /M |
| --- | --- |
| Output | $4.25 /M |
| Cached input | $0.150 /M |
| Web search | $0.0025 /call |

### Independent scores

| Intelligence | 56.8 |
| --- | --- |
| Coding | 72.2 |
| Agentic | 49.3 |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

#### Best rankings by task

 - website #2 of 151 1336
- dataviz #2 of 142 1370
- codecategories #3 of 145 1344
- gamedev #4 of 144 1352
- uicomponent #4 of 140 1352
- 3d #6 of 136 1348
- webapps #9 of 56 1264
- androidnative #10 of 54 1247

### 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 | verified |
| Cross-checked | vendor page |

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...