Scaledown lists 2 models and Undi95 1. 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.
| Scaledown | Undi95 | |
|---|---|---|
| Models listed | 2 | 1 |
| Models with published pricing | 2 | 1 |
| Typical price (median, 3:1 blend per 1M) | $0.03 | $0.42 |
| Cheapest paid model | ScaleDown: Extract ($0.03) | ReMM SLERP 13B ($0.42) |
| Longest context | ScaleDown: Extract (1M) | ReMM SLERP 13B (6K) |
| Free models | 0 | 0 |
| Newest model | ScaleDown: Extract (2026-10-13) | ReMM SLERP 13B (2023-07-22) |
| Price changes in the last 90 days | 0 | 1 |
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) | Scaledown | Undi95 |
|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation | $3.00 with ScaleDown: Extract | $39.25 with ReMM SLERP 13B |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages | $4.80 with ScaleDown: Extract | no suitable model |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context | no suitable model | no suitable model |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page | $3.20 with ScaleDown: Extract | no suitable model |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass | $2.00 with ScaleDown: Extract | no suitable model |
| You need | Scaledown | Undi95 |
|---|---|---|
| Any model | ScaleDown: Extract ($0.03) | ReMM SLERP 13B ($0.42) |
| With tool calling | none listed | none listed |
| With image input | ScaleDown: Extract ($0.03) | none listed |
| With reasoning mode | none listed | none listed |
| 128K+ context | ScaleDown: Extract ($0.03) | none listed |
| 1M+ context | ScaleDown: Extract ($0.03) | none listed |
| Model type | Scaledown | Undi95 |
|---|---|---|
| text+image+file->text | 2 | 0 |
| text->text | 0 | 1 |
| Price per 1M (3:1 blend) | Scaledown | Undi95 |
|---|---|---|
| Free | 0 | 0 |
| Under $0.50 | 2 | 1 |
| $0.50 – $3 | 0 | 0 |
| $3 – $10 | 0 | 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 $0.42 for Undi95. The cheapest paid models are ScaleDown: Extract at $0.03 and ReMM SLERP 13B at $0.42.
It depends on the job: Scaledown offers the broader line-up (2 models vs 1), Scaledown the lower typical price, Scaledown the longest context (1M tokens). The workload table above shows which wins for chat, RAG, agents, batch jobs and long documents.
Scaledown: Scaledown lists 2 models and Undi95 lists 1.
Scaledown: Scaledown's longest is ScaleDown: Extract at 1M tokens; Undi95's is ReMM SLERP 13B at 6K.
Neither lists a free model; both are pay-per-token.
Scaledown: 2 of 2 models accept images. Undi95: 0 of 1.