Meta lists 8 models and Scaledown 2. Scaledown is cheaper on a typical model ($0.03 per 1M tokens median). Below: line-up, price tiers, the cheapest model for each capability, and what each costs for five real workloads.
| Meta | Scaledown | |
|---|---|---|
| Models listed | 8 | 2 |
| Models with published pricing | 8 | 2 |
| Typical price (median, 3:1 blend per 1M) | $1.26 | $0.03 |
| Cheapest paid model | Meta: Muse Spark 1.2 Contributor ($0.13) | ScaleDown: Extract ($0.03) |
| Longest context | Meta: Muse Spark 1.1 (1.0M) | ScaleDown: Extract (1M) |
| Free models | 0 | 0 |
| Newest model | Meta: Muse Wonder (2026-10-12) | ScaleDown: Extract (2026-10-13) |
| Price changes in the last 90 days | 11 | 0 |
For each workload: the cheapest model from each provider that can actually do it (fits the context window; tool calling required for the agent), and its monthly cost at list price.
| Workload (per month) | Meta | Scaledown |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $11.50 with Meta: Muse Spark 1.2 Contributor | $3.00 with ScaleDown: Extract |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $14.00 with Meta: Muse Spark 1.2 Contributor | $4.80 with ScaleDown: Extract |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | $14.40 with Meta: Muse Spark 1.2 Contributor | no suitable model |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $9.20 with Meta: Muse Spark 1.2 Contributor | $3.20 with ScaleDown: Extract |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $5.20 with Meta: Muse Spark 1.2 Contributor | $2.00 with ScaleDown: Extract |
| You need | Meta | Scaledown |
|---|---|---|
| Any model | Meta: Muse Spark 1.2 Contributor ($0.13) | ScaleDown: Extract ($0.03) |
| With tool calling | Meta: Muse Spark 1.2 Contributor ($0.13) | none listed |
| With image input | Meta: Muse Spark 1.2 Contributor ($0.13) | ScaleDown: Extract ($0.03) |
| With reasoning mode | Meta: Muse Spark 1.2 Contributor ($0.13) | none listed |
| 128K+ context | Meta: Muse Spark 1.2 Contributor ($0.13) | ScaleDown: Extract ($0.03) |
| 1M+ context | Meta: Muse Spark 1.2 Contributor ($0.13) | ScaleDown: Extract ($0.03) |
| Model type | Meta | Scaledown |
|---|---|---|
| text+image+file+audio+video->text | 1 | 0 |
| text+image+file+video->text | 5 | 0 |
| text+image+file->text | 0 | 2 |
| text+image->text | 2 | 0 |
| Price per 1M (3:1 blend) | Meta | Scaledown |
|---|---|---|
| Free | 0 | 0 |
| Under $0.50 | 3 | 2 |
| $0.50 – $3 | 4 | 0 |
| $3 – $10 | 1 | 0 |
| $10 and up | 0 | 0 |
Scaledown is cheaper on a typical model: a median of $0.03 per 1M tokens (3:1 input/output) against $1.26 for Meta. The cheapest paid models are Meta: Muse Spark 1.2 Contributor at $0.13 and ScaleDown: Extract at $0.03.
It depends on the job: Meta offers the broader line-up (8 models vs 2), Scaledown the lower typical price, Meta the longest context (1.0M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Meta: Meta lists 8 models and Scaledown lists 2.
Meta: Meta's longest is Meta: Muse Spark 1.1 at 1.0M tokens; Scaledown's is ScaleDown: Extract at 1M.
Neither lists a free model; both are pay-per-token.
Meta: 8 of 8 models accept images. Scaledown: 2 of 2.