Muse Wonder

Muse Wonder is Meta's reasoning model for complex software engineering and long-running personal and professional agents.

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input · usd / 1m tok

$4.00

output · usd / 1m tok

$20.00

context window

1.05mtokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $4.00
output: $20.00
cache read: $0.20

providers

Meta hosts Muse Wonder. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

Meta

specifications

takes text and image in, gives text outmeta/muse-wonder

creatorMeta
model typeText generation
context window1,048,576 tokens
maximum outputnot published
input
takes text and image in, gives text out
outputtext
tool callingnot verified
releasedoct 12, 2026
endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="meta/muse-wonder",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="meta/muse-wonder",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

52.4#6 of 105 models on the gateway

omniscience25.5#10 of 81
humanity’s last exam50.1%#4 of 84

AA-LCR80.7%
AutomationBench Partial68.1%
SciCode60.3%
Humanity’s Last Exam50.1%
GDP.pdf All-pass30.6%
CritPt28.3%
Harvey LAB10.0%

Intelligence Index52.39
Omniscience Index25.48
GDPval Elo1770.34
legal index (API)52
economics index (API)57.7
engineering index (API)53.8
intelligence index (API)52.4
strategy and ops index (API)54.8
finance and accounting index (API)51.3

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-14.

compare Muse Wonder with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

anthropic/claude-opus-5-5$4.00 / $20.00compare →
openai/gpt-6-astra$10.00 / $50.00compare →
xiaomi/mimo-v2.6-pro$0.435 / $0.87compare →
qwen/qwen3.8-max$2.00 / $6.00compare →

impossibl models --all →

frequently asked questions

What is Muse Wonder?

Muse Wonder is Meta's reasoning model for complex software engineering and long-running personal and professional agents. It is built to track context across many steps, make and verify changes across a codebase, call tools in parallel, and recover from errors while following detailed instructions.

How much does Muse Wonder cost?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens through the Impossibl API. Cache reads cost $0.20 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of Muse Wonder?

Muse Wonder has a 1,048,576-token context window through the Impossibl API.

What inputs and outputs does Muse Wonder support?

Muse Wonder accepts text and image as input. Muse Wonder returns text.

How do I use Muse Wonder through an API?

Muse Wonder is available through the Impossibl API. Use meta/muse-wonder as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was Muse Wonder released?

Meta released Muse Wonder on October 12, 2026.

Creator release announcement ↗

this page describes Muse Wonder as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

view the source catalog ↗model as markdown ↗report a correction →