deepseek
Summarize vs DeepSeek V4 Flash 0731
74.2 overall · $0.172 / 1M
// scaledown
Summarize
scaledown/summarize
Summarize costs $0.040 per 1M input tokens and Free per 1M output tokens with a 1M-token context window.
A model from scaledown, released Oct 13, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.040
- Output / 1M
- Free
- Context
- 1M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.040 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | Free |
| Blended price 3:1 input:output — #10 cheapest of 349 listed models | $0.030 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 1,000,000 tokens |
| Max output | 4,000 tokens |
| Input modalities | text, image, file |
| Tool calling | No |
| Extended reasoning | No |
| Knowledge cutoff | — |
| Listed | Oct 13, 2026 |
What Summarize costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $9.60/mo |
| RAG assistant 8K in / 600 out × 100K requests | $32.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $32.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $40.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $100.00/mo |
Compare Summarize with
Benchmarked models at a similar price.
deepseek
Summarize vs DeepSeek V4.1 Flash
81.1 overall · $0.188 / 1M
anthropic
Summarize vs Claude Haiku 5.5
72.1 overall · $0.200 / 1M
openai
Summarize vs GPT-6 Luna
72.0 overall · $0.200 / 1M
z-ai
Summarize vs GLM 5.3 Flash
71.6 overall · $0.245 / 1M
deepseek
Summarize vs DeepSeek V4 Flash Vision Exp
76.8 overall · $0.323 / 1M
Summarize FAQ
How much does Summarize cost?
Summarize lists at $0.040 per 1M input tokens and Free per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $32.00 at list price.
What is the context window of Summarize?
Summarize accepts up to 1,000,000 tokens of context and can return up to 4,000 output tokens per response.
Does Summarize support tool calling?
Summarize does not list tool (function) calling support. It accepts text, image, file input.
How does Summarize score on benchmarks?
LiveBench has not published a run for Summarize yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Summarize?
On OpenRouter the model ID is "scaledown/summarize". It was listed on Oct 13, 2026.
More from scaledown
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.