Meta · Model
Muse Spark 1.3 pricing, context window and specs
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens, and reads up to 1,048,576 tokens per request. By blended price it is the most expensive of Meta’s 4 current models here.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Cached / 1M
- $0.15
- Context
- 1,048,576
- Max output
- Not published
- Released
- 2026-09-02
Estimate your cost with Muse Spark 1.3Compare all Meta modelsCount tokens for Muse Spark 1.3
Pricing
Muse Spark 1.3 API pricing
| Price per 1M tokens | Input | Output |
|---|---|---|
| Standard | $1.25 | $4.25 |
| Cached input (read) | $0.15 | – |
Output costs 3.4× the input price, so long replies drive the bill more than long prompts. If your requests share a long fixed prefix, such as a system prompt or tool definitions, caching cuts that part to 12% of the normal input price.
Examples
What Muse Spark 1.3 costs in practice
| Workload | Tokens in / out | Requests/day | Per request | Per month |
|---|---|---|---|---|
| Support chatbot50% cached | 1,500 / 400 | 1,000 | $0.00275 | $83.65 |
| RAG app20% cached | 6,000 / 500 | 500 | $0.00831 | $126.31 |
| Coding agent80% cached | 40,000 / 2,000 | 200 | $0.0233 | $141.74 |
| Document summariser | 8,000 / 600 | 300 | $0.0126 | $114.52 |
Change any number in the cost calculator.
Context
Context window
Muse Spark 1.3 accepts up to 1,048,576 tokens per request, roughly 786,432 English words or 1,573 pages. That budget is shared between your prompt and the reply, and no separate cap on the reply is published.
Filling the whole window with one prompt costs about $1.31 at list price, so for repeated long-document work, retrieval (sending only the relevant parts) or prompt caching is usually much cheaper.
Features
Capabilities
- Image input
- Yes
- Tool / function calling
- Yes
- Reasoning mode
- Yes
- Prompt caching
- Yes
- Structured output
- Yes
- Open weights
- No
- Accepts
- text, image, video, file
- Knowledge cutoff
- Not published
As declared by the provider’s API. It shows a feature exists, not how well it works.
API
Muse Spark 1.3 model ID
- OpenRouter
meta/muse-spark-1.3
Use the OpenRouter ID when calling it through OpenRouter; Meta’s own API may name it differently. See the model ID reference for the providers we document.
Meta
Where Muse Spark 1.3 sits in Meta’s line-up
Ranked by blended price (three parts input to one part output, $2 per 1M for Muse Spark 1.3), it is the most expensive of Meta’s 4 current models here. One step down, Muse Glimmer 30B costs $0.525 blended (74% less). Unlike Muse Spark 1.3, it doesn’t accept files or video, reads up to 131,072 tokens (1,048,576 here) and has open weights. See every Meta model and price
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Llama 4 Scout | $0.10 | $0.30 | 327,680 | 2025-04-05 |
| Llama 4 Maverick | $0.1875 | $0.6525 | 128,000 | 2025-04-05 |
| Muse Glimmer 30B | $0.30 | $1.20 | 131,072 | 2026-08-09 |
| Muse Spark 1.3 (this page) | $1.25 | $4.25 | 1,048,576 | 2026-09-02 |
Meta’s current models with a page here, cheapest first. Older and superseded models are listed on the provider page and in the comparison table.
History
Earlier versions of Muse Spark 1.3
The previous model in this line is Muse Spark 1.2, first listed on 2026-08-05. Compared with it, Muse Spark 1.3’s input price is unchanged and its output price is unchanged.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Muse Spark 1.2 | $1.25 | $4.25 | 1,048,576 | 2026-08-05 |
| Muse Spark 1.1 | $1.25 | $4.25 | 1,048,576 | 2026-07-16 |
Earlier releases with the same name and size in our data, newest first. Dates are when our source first listed each model.
Save
Cheaper alternatives
- GPT-6 LunaOpenAI90% cheaper
- Claude Haiku 5.5Anthropic90% cheaper
- Qwen3.8 Omni FlashQwen89% cheaper
- GLM 5.3 FlashZ.ai88% cheaper
- Mistral Small 4Mistral87% cheaper
Current models from major providers, one per provider, that keep image input, tool calling, a reasoning mode, a usable context window and output limit. Compared by blended price.
Compare
Similarly priced models
- DeepSeek V4 Pro 0813DeepSeek$1.32 / $3.96
- GLM 5V TurboZ.ai$1.20 / $4
- GPT-5.4 MiniOpenAI$0.75 / $4.50
- Gemini 3.8 FlashGoogle$0.75 / $3.75
- Kimi K2.7 CodeMoonshot AI$0.6712 / $3.35
Current models from other major providers, closest blended price.
FAQ
Muse Spark 1.3 questions
How much does Muse Spark 1.3 cost?
Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens, with cached input at $0.15. A typical chatbot reply (1,500 tokens in, 400 out) costs about $0.00358. Use the LLM cost calculator for your own workload.
What is Muse Spark 1.3’s context window?
1,048,576 tokens, about 786,432 English words or 1,573 printed pages, shared between your prompt and the reply. No separate limit on the reply is published, so the window is the limit.
Does Muse Spark 1.3 support prompt caching and batch requests?
Yes, cached input is billed at $0.15 per million tokens (12% of the normal input price). No batch price is published for it.
What are cheaper alternatives to Muse Spark 1.3?
With the same essentials (image input and tool calling), the cheapest options are GPT-6 Luna (90% cheaper), Claude Haiku 5.5 (90% cheaper), Qwen3.8 Omni Flash (89% cheaper). Cheaper doesn’t mean equivalent, so test them on your own prompts.
What is the API model ID for Muse Spark 1.3?
On OpenRouter it is meta/muse-spark-1.3. Meta’s own API may use a different name, so check its model list before you deploy. Pass the ID as the model value in each request.
What did Muse Spark 1.3 replace?
The previous Meta model in the same line is Muse Spark 1.2, first listed on 2026-08-05. Compared with it, Muse Spark 1.3’s input price is unchanged and its output price is unchanged. Prices are only part of the picture, so test the newer model on your own prompts before switching.
Is Muse Spark 1.3 open source?
No, Muse Spark 1.3 is only available through Meta’s API and partners; its weights aren’t published.