meta
Muse Spark Open vs Muse Spark 1.3
74.9 overall · $2.00 / 1M
// meta
Muse Spark Open
meta/muse-spark-open
Muse Spark Open costs $1.25 per 1M input tokens and $4.25 per 1M output tokens with a 1.0M-token context window.
A reasoning, tool-calling model from meta, released Oct 15, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Context
- 1.0M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $1.25 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $4.25 |
| Blended price 3:1 input:output — #94 most expensive of 350 listed models | $2.00 |
| Cached input read Blank means not priced separately — not free | $0.150 |
| Cache write | — |
| Context window | 1,048,576 tokens |
| Max output | 943,718 tokens |
| Input modalities | text, image, video, file, audio |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Oct 15, 2026 |
What Muse Spark Open 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 | $560.80/mo |
| RAG assistant 8K in / 600 out × 100K requests | $815.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $724.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $1,514/mo |
| Bulk classification 500 in / 20 out × 5M requests | $3,000/mo |
Compare Muse Spark Open with
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Muse Spark Open vs GLM 5.3
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Muse Spark Open FAQ
How much does Muse Spark Open cost?
Muse Spark Open lists at $1.25 per 1M input tokens and $4.25 per 1M output tokens, with cached input reads at $0.150 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $815.00 at list price.
What is the context window of Muse Spark Open?
Muse Spark Open accepts up to 1,048,576 tokens of context and can return up to 943,718 output tokens per response.
Does Muse Spark Open support tool calling?
Yes — Muse Spark Open supports tool (function) calling and exposes extended reasoning. It accepts text, image, video, file, audio input.
How does Muse Spark Open score on benchmarks?
LiveBench has not published a run for Muse Spark Open 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 Muse Spark Open?
On OpenRouter the model ID is "meta/muse-spark-open". It was listed on Oct 15, 2026.
More from meta
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 2026-09-02. 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.