Muse Spark 1.2 Contributor with Jev
Muse Spark 1.2 Contributor is a model from Meta, released 2026-08-21. It costs $0.100 per million input tokens and $0.200 per million output tokens, reads up to 1.05M tokens of context, and writes up to 943,718 tokens in one reply. Through llm11, set model to meta/muse-spark-1.2-contributor.
- Input price
- $0.100 / 1M
- Output price
- $0.200 / 1M
- Context window
- 1.05M tokens
- Max output
- 944K tokens
- Cached input
- $0.002 / 1M
- Released
- 2026-08-21
- Accepts
- text, image, video, file
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 86% of the 332 priced models we can call cost more.
Using Muse Spark 1.2 Contributor with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Muse Spark 1.2 Contributor does the answering when Jev sends it work, or when you name it yourself. At list price Muse Spark 1.2 Contributor falls in the llm11-fast band, but no pack routes to it because Meta is not one of the labs the packs draw from. You can still pin it: pass meta/muse-spark-1.2-contributor as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Muse Spark 1.2 Contributor with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00009 | $0.090 |
| Question over retrieved documents | 4,000 / 500 | $0.00050 | $0.500 |
| Long document summary | 30,000 / 1,000 | $0.00320 | $3.20 |
Cheaper models to try
The catalogue has no benchmark score for Muse Spark 1.2 Contributor, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3 Coder 30B A3B Instruct | $0.070 | $0.280 | 262K | |
| Qwen Qwen3.5-Flash | $0.065 | $0.260 | 1M | |
| Qwen Qwen3.5-9B | $0.100 | $0.150 | 262K | |
| Mistral Ministral 3 3B 2512 | $0.100 | $0.100 | 131K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="meta/muse-spark-1.2-contributor",
messages=[{"role": "user", "content": "Hello"}],
)More from Meta
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Muse Spark 1.3 | $1.25 | $4.25 | 1.05M | |
| Muse Spark 1.3 Contributor | $0.100 | $0.200 | 1.05M | |
| Muse Glimmer 30B | $0.300 | $1.20 | 131K | |
| Muse Spark 1.2 | $1.25 | $4.25 | 1.05M | |
| Muse Spark 1.1 | $1.25 | $4.25 | 1.05M |
Questions
- What is Muse Spark 1.2 Contributor with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Muse Spark 1.2 Contributor does the answering when Jev sends it work, or when you name it yourself. At list price Muse Spark 1.2 Contributor falls in the llm11-fast band, but no pack routes to it because Meta is not one of the labs the packs draw from. You can still pin it: pass meta/muse-spark-1.2-contributor as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Muse Spark 1.2 Contributor a System One model?
- No. Muse Spark 1.2 Contributor answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Muse Spark 1.2 Contributor cost?
- $0.100 per million input tokens and $0.200 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00050, so a thousand of them is about $0.500. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Muse Spark 1.2 Contributor context window?
- 1,048,576 tokens, with up to 943,718 tokens in a single reply.
- Does Muse Spark 1.2 Contributor support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Muse Spark 1.2 Contributor through llm11?
- Yes. Set model to meta/muse-spark-1.2-contributor on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Muse Spark 1.2 Contributor?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Muse Spark 1.2 Contributor falls in the llm11-fast band, but no pack routes to it because Meta is not one of the labs the packs draw from. You can still pin it: pass meta/muse-spark-1.2-contributor as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Muse Spark 1.2 Contributor?
- Nearest in price and below it: Qwen Qwen3 Coder 30B A3B Instruct at $0.070 in and $0.280 out, Qwen Qwen3.5-Flash at $0.065 in and $0.260 out and Qwen Qwen3.5-9B at $0.100 in and $0.150 out. The catalogue has no benchmark score for Muse Spark 1.2 Contributor, so this is a price ordering. It does not claim these answer as well.