opendunes

Muse Spark Open

New

by MetaReleased 15 October 2026

Muse Spark Open is a coding-focused Meta model you can download and run yourself, trained to work through coding tasks on its own, step by step. It takes text, pictures, video, files and audio, answers in text, and keeps about a thousand pages in mind. Meta aims it at getting the code right on the first attempt, using tools reliably and understanding the code projects developers work in.

TakesTextImagesVideoAudioFiles
GivesText

What it costs

You pay for what each request uses. No subscription, no minimum.

≈ 1,12 DA per message3 000 DA buys about 2 600 messages

One message, the ordinary use

1 000 tokens sent× 416,04 DA per 1M0,42 DA
500 tokens back× 1 414,55 DA per 1M0,71 DA
Total≈ 1,12 DA

Every rate

Meter↑ you send↓ comes back
Text tokens416,04 DA1 414,55 DA
Cached tokens read49,93 DA

per 1M tokens

Plan a feature from a design screenshot as JSON≈ 5,45 DA
Fix a failing test in a mid-size repository≈ 29,21 DA
Turn a recorded bug-report video into a ticket≈ 52,75 DA
Review a pull request against the surrounding codebase≈ 68,06 DA
When you pay
After the answer, from your balance. Nothing is held.
Why it varies
A longer question or a longer answer costs more.
After each one
The exact charge shows on the request.
DepositDeposits from 50 DA, with Edahabia or CIB.

Where your request runs

Six companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it. DA per 1M tokens: ↑ what you send · ↓ what comes back.

FireworksUnited States…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
Makora…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
Modal…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
Together…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
Nebius…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
Fireworks…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
BaseTen…
↑ Sent, per 1M
416,04 DA
↓ Back, per 1M
1 414,55 DA
Cache read
49,93 DA
Latency
…
Throughput
…
Provider↑ Sent↓ BackCache readLatencyThroughputUptime
FireworksUnited States416,04 DA1 414,55 DA49,93 DA………
Makora416,04 DA1 414,55 DA49,93 DA………
Modal416,04 DA1 414,55 DA49,93 DA………
Together416,04 DA1 414,55 DA49,93 DA………
Nebius416,04 DA1 414,55 DA49,93 DA………
Fireworks416,04 DA1 414,55 DA49,93 DA………
BaseTen416,04 DA1 414,55 DA49,93 DA………

You pay the price of the provider that served your request. Prices read 15:18 · speed over the last 30 minutes · uptime over 3 days.

See it in action

Real requests, real replies. Try any of them yourself — one click, pre-filled.

Understands images
You send

What's the total on this invoice, and when is it due?

invoice-scan.jpg · photo
It replied

The total is 42 300,00 DA, due 5 September 2026. Worth a double-check: the handwritten day could read as 8 instead of 3.

Try in Chat Lab
Structured output
You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt
It replied

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab

Try your own request — same model, pre-selected.

Open Chat Lab

Call it in code

Swap the base URL and the key. Your OpenAI code runs unchanged.

POST /v1/chat/completions
Base URL
https://opendunes.com/v1
Model ID
meta/muse-spark-open
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://opendunes.com/v1",
    api_key=os.environ["OPENDUNES_API_KEY"],
)

resp = client.chat.completions.create(
    model="meta/muse-spark-open",
    messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)

print(resp.choices[0].message.content)

Runs this request once on your balance.

Parameters you can send

Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.

Shaping the reply

How long, how varied, where to stop.

max_tokenstemperaturetop_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobs

Reasoning

Let it think before answering — and see the thinking.

reasoningreasoning_effortinclude_reasoning

Structured output

Get JSON you can parse instead of prose.

response_formatstructured_outputs

Tools

Let the model call your functions.

toolstool_choice

Questions about Muse Spark Open

  • How much does Muse Spark Open cost in dinars?

    About 1,12 DA per message. ↑ 416,04 DA · ↓ 1 414,55 DA per 1M tokens.

  • Is Muse Spark Open free? Can I try it?

    No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.

  • What is Muse Spark Open best for?

    Muse Spark Open is a coding-focused Meta model you can download and run yourself, trained to work through coding tasks on its own, step by step. It takes text, pictures, video, files and audio, answers in text, and keeps about a thousand pages in mind. Meta aims it at getting the code right on the first attempt, using tools reliably and understanding the code projects developers work in.

  • Muse Spark Open or Muse Spark 1.3 Contributor?

    Muse Spark 1.3 Contributor costs 1,05 DA less for the same message.

  • How do I pay for Muse Spark Open without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, Muse Spark Open included, is paid from that balance. No foreign card, no conversion.

  • Does Muse Spark Open work in Arabic, French or Darja?

    Meta names no languages for Muse Spark Open. Arabic, French and Darja: not stated.

  • Can it read PDFs, images or a whole book?

    It reads text, images, video, audio and PDFs. Up to 1M tokens in one request, about 1 000 pages. It writes up to 708 000 words at once.

  • Is Muse Spark Open open source?

    Yes, its weights are public. Open weights on Hugging Face

  • Who makes Muse Spark Open, and when was it released?

    Meta. Released 15 October 2026.

Other Meta models, priced in dinars

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Muse Voice Transcribe 1.0Meta · Sep 11, 2026

Muse Voice Transcribe 1.0 turns speech into text in a single step. Send a single-channel WAV recording of up to 10 minutes and get the transcript back. It handles push-to-talk, finding where a speaker stops, and separate speakers, and you can steer it toward specialist terms or a language with a hint. It gives no word-by-word timing or confidence scores, so convert recordings in other formats to WAV first.

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Muse Spark 1.3 ContributorMeta · Sep 2, 2026

Muse Spark 1.3 Contributor is the lower-cost tier of Muse Spark 1.3, with the same text, picture, video and PDF input and thousand-page memory, for experiments, learning and early automated and coding projects. It keeps track of information across long tasks and works through conflicting information. For the previous release at this tier, use 1.2 Contributor.

Searches the webThinks firstUses your tools
≈0,067 DAper message
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Muse Spark 1.3Meta · Sep 2, 2026

#2 for websites · Muse Spark 1.3 is a Meta model that thinks before it answers, reading text, pictures, video and PDFs and replying in text, with about a thousand pages in mind at once. It is built for long-running automated and coding work: it keeps track of facts across a long task, works through conflicting information and asks you to clarify or confirm when it needs to, keeping its steps concise. Meta does not use your requests to improve its products.

#11 of 119 for codingSearches the webThinks first
≈1,12 DAper message
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