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Meta: Muse Spark 1.3 Contributor

by Meta

meta/muse-spark-1.3-contributor
UnavailableRank #20Down 2 places on last week

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

Context

1Mtokens

About 1,498 pages of text at once

Max output

944Ktokens

About 1,348 pages in one answer

Intelligence

—

No score published for this model.

Output speed

92tokens/s

A 500-word answer in about 7.6 s

From public market statistics for this model

First token

2.8s

Reasoning models start later

From public market statistics for this model

Health, 30 days

50.00%

0 of 30 days without a fault

IranRouter’s measurements

Price & cost

Every rate in Rial. A request pays only for the tokens it actually uses.

Input274,099IRR / 1M tokens
Output548,199IRR / 1M tokens
Reasoning tokensThe output rate548,199IRR / 1M tokens
Cache read5,482IRR / 1M tokens
Image input tokensThe input rate274,099IRR / 1M tokens
Per web search6,852IRR

With prompt caching, the fixed part of your prompt is billed at the cache-read rate on later requests.

What would this model cost you a month?

Monthly cost

34.54MIRR

1.15M IRR a day, 576 IRR each request

30 days at today’s rate.

Rial price over 90 days

It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.

InputOutput

Performance, 30 days

Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.

Daily health50.00%

Time to first token3.92 s

Output speed78 tokens/s

Place in the market

By usage across the global model market.

Daily rank#20

Share of the day’s tokens1.2%

Capabilities

Image inputYes
Audio inputNo
Tool callingYes
JSON outputYes
ReasoningReasoning levels: max, xhigh, high, medium, low, minimal
Web searchNo
Prompt cacheYes
Makes imagesNo
Open weightsNo
On the free planNo
Input
TextImageVideoFile
Output
Text

Parameters it accepts

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p

Start in a minute

The official OpenAI and Anthropic SDKs; only the address and the key change.

Base URLhttps://iranrouter.com/v1
Model IDmeta/muse-spark-1.3-contributor
API keyCreate one in the dashboard
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://iranrouter.com/v1",
    api_key="ir-...",
)

r = client.chat.completions.create(
    model="meta/muse-spark-1.3-contributor",
    messages=[{"role": "user", "content": "Hello, introduce yourself"}],
)
print(r.choices[0].message.content)
The full guide in the docs: keys, streaming and errors

Peer models

Its family and models with a close score; the last column compares one message’s cost with this model.

No peer models found.

Technical specs

ID
meta/muse-spark-1.3-contributor
Maker
Meta
Tokenizer
Other
Released
Sep 3, 2026
Added to IranRouter
Sep 4, 2026
Context
1,048,576 tokens
Max output
943,718 tokens
Meta: Muse Spark 1.3 ContributorOne message about 820 IRRStart with this model