How much does Muse Spark 1.3 cost?

Muse Spark 1.3 costs $1.25/M input tokens and $4.25/M output tokens, with separate rates for Cache Read at $0.15/M tokens.

What is the context length of Muse Spark 1.3?

Muse Spark 1.3 has a 1,048,576 token context window.

Does Muse Spark 1.3 support tool calling and structured outputs?

Yes. Muse Spark 1.3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Muse Spark 1.3 support?

Muse Spark 1.3 accepts text, images, video, and files such as PDFs as input and returns text.

Which providers serve Muse Spark 1.3?

Muse Spark 1.3 is served by 2 providers on OpenRouter: Google Vertex and Meta. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Muse Spark 1.3 released?

Muse Spark 1.3 was released on September 2, 2026.

Meta: Muse Spark 1.3

meta/muse-spark-1.3

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Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.

Modalities

In / out price

$1.25 / $4.25per 1M

Context

1.0M

Released

Sep 2, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$1.25	$4.25	$0.15	1.88s	166 tok/s	100.00%
	$1.25	$4.25	$0.15	4.54s	91 tok/s	99.87%

Input $1.25Output $4.25
166 tok/s100.00% uptime
Input $1.25Output $4.25
91 tok/s99.87% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.35/M tokens

Output

$4.25/M tokens

Muse Spark 1.3 — Price history

Price history

No effective price data for this selection

		$0.335	$4.25	83.2%	48.5%
		$0.364	$4.25	80.6%	51.5%

Effective in $0.335Effective out $4.25
Token share
48.5%
Effective in $0.364Effective out $4.25
Token share
51.5%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.47%

Availability over the last 3 days

Last 72 hours

Availability 99.47%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.78%

Without Routing

99.10%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Meta: Muse Spark 1.3 (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Muse Spark 1.3 (Max) Intelligence Index	36.6
Artificial Analysis	Muse Spark 1.3 (Max) Coding Index	75.8
Artificial Analysis	Muse Spark 1.3 (Max) Agentic Index	55.5
Artificial Analysis	Muse Spark 1.3 (Max) GPQA Diamond	93.5%
Artificial Analysis	Muse Spark 1.3 (Max) HLE	48.7%
Artificial Analysis	Muse Spark 1.3 (Max) AA-LCR	83.0%
Artificial Analysis	Muse Spark 1.3 (Max) τ-Bench Banking	50.5%
Artificial Analysis	Muse Spark 1.3 (Max) GDPval-AA	59.0%
Artificial Analysis	Muse Spark 1.3 (Max) CritPt	24.9%
Artificial Analysis	Muse Spark 1.3 (Max) SciCode	58.8%
Artificial Analysis	Muse Spark 1.3 (Max) Terminal-Bench 4.0	33.3%
Artificial Analysis	Muse Spark 1.3 (Max) Terminal-Bench 2.1	84.3%
Artificial Analysis	Muse Spark 1.3 (Max) AA-Omniscience Accuracy	38.0%
Artificial Analysis	Muse Spark 1.3 (Max) AA-Omniscience Non-Hallucination Rate	74.8%
Artificial Analysis	Muse Spark 1.3 (Xhigh) Coding Index	76.5
Artificial Analysis	Muse Spark 1.3 (Xhigh) Agentic Index	51.5
Artificial Analysis	Muse Spark 1.3 (Xhigh) GPQA Diamond	94.1%
Artificial Analysis	Muse Spark 1.3 (Xhigh) HLE	47.5%
Artificial Analysis	Muse Spark 1.3 (Xhigh) AA-LCR	83.0%
Artificial Analysis	Muse Spark 1.3 (Xhigh) τ-Bench Banking	47.2%
Artificial Analysis	Muse Spark 1.3 (Xhigh) GDPval-AA	56.6%
Artificial Analysis	Muse Spark 1.3 (Xhigh) CritPt	26.0%
Artificial Analysis	Muse Spark 1.3 (Xhigh) SciCode	59.7%
Artificial Analysis	Muse Spark 1.3 (Xhigh) Terminal-Bench 4.0	16.7%
Artificial Analysis	Muse Spark 1.3 (Xhigh) Terminal-Bench 2.1	85.4%
Artificial Analysis	Muse Spark 1.3 (Xhigh) AA-Omniscience Accuracy	37.8%
Artificial Analysis	Muse Spark 1.3 (Xhigh) AA-Omniscience Non-Hallucination Rate	77.5%
Design Arena	Muse Spark 1.3 Max Agents Arena Androidnative Elo	1293
Design Arena	Muse Spark 1.3 Max Agents Arena Blender3d Elo	1145
Design Arena	Muse Spark 1.3 Max Agents Arena Codetovideo Elo	1200
Design Arena	Muse Spark 1.3 Max Agents Arena Full Stack Elo	1288
Design Arena	Muse Spark 1.3 Max Agents Arena Godotgamedev Elo	1218
Design Arena	Muse Spark 1.3 Max Agents Arena Mobile Apps Elo	1210
Design Arena	Muse Spark 1.3 Max Agents Arena Pdf Elo	1183
Design Arena	Muse Spark 1.3 Max Agents Arena Spreadsheet Elo	1118
Design Arena	Muse Spark 1.3 Max Agents Arena Webapps Elo	1279
Design Arena	Muse Spark 1.3 Max Models Arena 3D Elo	1380
Design Arena	Muse Spark 1.3 Max Models Arena Asciiart Elo	1334
Design Arena	Muse Spark 1.3 Max Models Arena Code Categories Elo	1353
Design Arena	Muse Spark 1.3 Max Models Arena Data Visualization Elo	1307
Design Arena	Muse Spark 1.3 Max Models Arena Game Development Elo	1345
Design Arena	Muse Spark 1.3 Max Models Arena SVG Elo	1315
Design Arena	Muse Spark 1.3 Max Models Arena UI Component Elo	1353
Design Arena	Muse Spark 1.3 Max Models Arena Website Elo	1352
Vals AI	Muse Spark 1.3 Access to Justice Benchmark	72.2%
Vals AI	Muse Spark 1.3 Code Migration	27.6%
Vals AI	Muse Spark 1.3 CyberBench v1.1	69.4%
Vals AI	Muse Spark 1.3 EMB	62.7%
Vals AI	Muse Spark 1.3 Finance Agent (v2)	58.9%
Vals AI	Muse Spark 1.3 Financial Coaching Bench	71.0%
Vals AI	Muse Spark 1.3 Harvey's Legal Agent Benchmark v1	22.9%
Vals AI	Muse Spark 1.3 Immigration	65.0%
Vals AI	Muse Spark 1.3 IOI	43.9%
Vals AI	Muse Spark 1.3 Legal Research Bench	40.9%
Vals AI	Muse Spark 1.3 ProgramBench	0.5%
Vals AI	Muse Spark 1.3 ProofBench v1.1	55.0%
Vals AI	Muse Spark 1.3 Tax Agent Bench	37.9%
Vals AI	Muse Spark 1.3 Terminal-Bench 4.0	10.6%
Vals AI	Muse Spark 1.3 Terminal-Bench-Science	4.3%
Vals AI	Muse Spark 1.3 Vals Index	53.2%
Vals AI	Muse Spark 1.3 Vibe Code Bench v1.1	82.9%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

26Btokens

Chat AI App

new

14.2Btokens

omp

new

10Btokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

7.8Btokens

Codex

A coding agent that helps you build and ship with AI

5.53Btokens

Rest of OpenRouter

1.27B

Top 5 Apps

147M

Not currently available through EU in-region routing. In-region routing docs

More models from Meta

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Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing, extraction, and long document parsing.

Muse Ember accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context window.

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Muse Spark Open

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Muse Wonder

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In Meta's testing, it performs well on complex engineering tasks, extended agentic sessions, and multi-file refactors to tackle developers' most demanding work.

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Muse Voice Transcribe 1.0

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Transcription$0.00005/second

Muse Spark 1.3 Contributor

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 across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed. Prompts and outputs may be used to improve Meta’s products.

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Image$0.01/image

Muse Spark 1.2 Contributor

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark 1.2. Your prompts and outputs may be used to improve Meta’s products, making it ideal for experimentation, learning, and early-stage projects without worry about spend.

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Muse Glimmer 30B (batch)

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Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window.

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Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window.

The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates or as a subagent, and generalizes zero-shot to new tools, MCP servers, and custom skills. It supports structured output, parallel function calling, built-in search with citations, and configurable reasoning effort. Meta reports strong performance on real-world coding across large codebases, computer-use workflows, and visual-to-code generation.

Text1.0M context$1.25 / $4.25

Meta: Muse Spark 1.3

Providers