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Text & reasoningStable
MetaMuse Spark 1.3
Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Plain-English overview
What Muse Spark 1.3 actually is
Muse Spark 1.3 is a developer model built for work that unfolds over many steps. Meta says it is better at keeping long instructions intact, managing several workflows in one thread, noticing gaps in its own plan, and asking for help before consequential actions.
It is available through Meta Model API and Muse Code. The release focuses on practical agent and coding behavior rather than a new media generator, so teams should evaluate it with their own tool harness, approval rules, and long-running tasks.
Good fit for
- Long-horizon coding and agent projects
- Tool workflows that need user checkpoints
- Multimodal work over files, images, video, and PDFs
Category comparison
The facts that matter for text models
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
- Context window
- 1M active context management in the Muse Spark API familyMaximum combined prompt and working context documented by the provider.
- Maximum output
- Not separately publishedProvider-published response limit, where available.
- Knowledge cutoff
- Not publishedLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
- Input price
- See live Meta Model API priceCurrent standard list price per million input tokens unless noted.
- Output price
- See live Meta Model API priceCurrent standard list price per million output tokens unless noted.
- Inputs
- Text, image, video, PDFMedia types accepted by the listed model endpoint.
- Tools & agents
- Parallel tools, coding, long-running agents, high reasoningSelected native tools and agent-building capabilities, not an exhaustive list.
Pricing & comparisons
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
Muse Spark 1.3
Meta
Estimated total (USD)
For the usage above · USD · API pricing, not a subscription
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
API and provider access
Where to get Muse Spark 1.3
Availability
Regions and access stage
Available through Muse Code and Meta Model API.
The public release does not enumerate one country or processing-region list; availability follows the Meta developer account and product terms.
Check live availabilityData and training
The route matters.
The public Muse Spark model and release pages reviewed do not state one complete API retention or training-use commitment. Check the current Meta Model API terms and account controls before using private data.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
Muse Spark 1.3 FAQ
What is Muse Spark 1.3?
Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration. Muse Spark 1.3 is a developer model built for work that unfolds over many steps. Meta says it is better at keeping long instructions intact, managing several workflows in one thread, noticing gaps in its own plan, and asking for help before consequential actions.
When was Muse Spark 1.3 released?
Muse Spark 1.3 was released on September 2, 2026 according to the cited provider materials.
Where can I access Muse Spark 1.3?
Available through Muse Code and Meta Model API. The access routes listed in this guide are Meta Model API and Meta.
How much does Muse Spark 1.3 cost?
See live Meta Model API pricing. Meta's public model page is the source of truth for current API pricing. Partner and coding-product plans can use different rates or allowances.
Where is Muse Spark 1.3 available?
Available through Muse Code and Meta Model API. The public release does not enumerate one country or processing-region list; availability follows the Meta developer account and product terms.
Is my Muse Spark 1.3 API data used for training?
The public Muse Spark model and release pages reviewed do not state one complete API retention or training-use commitment. Check the current Meta Model API terms and account controls before using private data. The policy belongs to the provider route and account terms, so verify it again before production use.
Price comparison
USD per million tokens for the shown API routes at standard context length. Cache and long-context rates may differ. Models without matching reviewed prices are omitted; lower cost does not mean better quality.
- Mistral Small 4$0.15
Mistral AI
- Gemini 3.8 Flash$0.75
Google
- GPT-5.6 Sol$4.00
OpenAI
- GPT-6 Astra$10.00
OpenAI
- Claude Fable 5.1$10.00
Anthropic
- Mistral Small 4$0.60
Mistral AI
- Gemini 3.8 Flash$3.75
Google
- GPT-5.6 Sol$20.00
OpenAI
- GPT-6 Astra$50.00
OpenAI
- Claude Fable 5.1$50.00
Anthropic
Related comparisons
Head-to-head comparisons
Muse Spark 1.3 vs GPT-6 Astra
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Open full comparisonMuse Spark 1.3 vs GPT-5.6 Sol
OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.
Open full comparisonMuse Spark 1.3 vs Claude Fable 5.1
Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.
Open full comparisonMuse Spark 1.3 vs Gemini 3.8 Flash
Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.
Open full comparisonMuse Spark 1.3 vs Grok 4.6
SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.
Open full comparisonMuse Spark 1.3 vs Grok 4.20 Multi-Agent Beta
A specialist Grok model that sends several AI agents to investigate a difficult question in parallel, then combines their work into one researched answer.
Open full comparisonMuse Spark 1.3 vs Inkling
Thinking Machines Lab's large open-weights model for customizable reasoning, coding, tools, vision, and audio workflows.
Open full comparisonMuse Spark 1.3 vs Mistral Medium 3.5
Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.
Open full comparisonMuse Spark 1.3 vs Mistral Small 4
Mistral's lower-cost open model that combines normal instruction following, reasoning, coding, vision, and agent tools in one endpoint.
Open full comparisonMuse Spark 1.3 vs Qwen3.8 Max
Alibaba's frontier Qwen model for long-context reasoning, coding, tools, and understanding text, images, and video.
Open full comparisonMuse Spark 1.3 vs MiniMax M3
MiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.
Open full comparisonMuse Spark 1.3 vs GLM-5.3
Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.
Open full comparisonMuse Spark 1.3 vs Kimi K3
Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.
Open full comparisonMuse Spark 1.3 vs Falcon-H1R-7B
TII's compact open reasoning model for text tasks, long contexts, and self-hosted function-calling workflows.
Open full comparisonMuse Spark 1.3 vs Falcon-H1-34B-Instruct
TII's 34B open instruction model for multilingual text, coding, and controlled self-hosted applications.
Open full comparisonMuse Spark 1.3 vs Celeris-1 Magnus
Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Open full comparisonMuse Spark 1.3 vs NVIDIA Nemotron 3 Ultra
NVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.
Open full comparisonMuse Spark 1.3 vs NVIDIA Nemotron 3.5 Lightning
NVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.
Open full comparisonMuse Spark 1.3 vs Qwen3.8-Flash
Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.
Open full comparisonMuse Spark 1.3 vs DeepSeek-V4-Pro
DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
Open full comparisonMuse Spark 1.3 vs DeepSeek-V4-Flash
DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
Open full comparison
