Muse Spark vs ChatGPT 5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro: Which AI Model Fits You?

Large AI assistants now shape how people work, learn, and search online. Four leading options today are Muse Spark, ChatGPT 5.4, Claude Opus 4.6, and Gemini 3.1 Pro. Each model focuses on slightly different strengths and pricing.

This guide explains how they compare so you can pick the right one.

Muse Spark vs ChatGPT 5.4 vs Claude Opus 4.6 vs Gemini 3.1 Pro

Muse Spark is Meta’s new frontier language model that powers the updated Meta AI assistant across the Meta AI app and meta.ai site.
ChatGPT 5.4 is OpenAI’s newest “thinking” model, built for complex work, research, and software agents.
Claude Opus 4.6 is Anthropic’s highest tier model, focused on long, careful reasoning and coding with a very large context window.
Gemini 3.1 Pro is Google’s latest flagship model for hard reasoning tasks across consumer and developer products.

These four models sit near the top of current benchmark leaderboards but differ in style and access.

Muse Spark aims at everyday users inside Meta’s apps.
ChatGPT 5.4 targets professional users who need agents and computer use.
Claude Opus 4.6 focuses on high‑stakes work with strong safety controls and long documents.
Gemini 3.1 Pro pushes frontier scores on hard reasoning tests and integrates into Google’s cloud and consumer tools.

Key Features

Muse Spark

Built by Meta Superintelligence Labs as the first model in the Muse series.
Powers Meta AI across the Meta AI app and web, with planned rollout to WhatsApp, Instagram, Facebook, Messenger, and Meta’s smart glasses.
Multimodal input, so it can read both text and images in one conversation.
Focus on everyday tasks like health questions, shopping help, social content understanding, and visual explanations.
Designed to reach strong performance while using much less compute than Meta’s earlier Llama 4 Maverick model.
Competitive on public benchmarks, especially health tasks, and near top models on some reasoning tests.

Multimodal means the model can process more than one data type, for example text and images. Compute refers to the GPU or TPU processing power used to train or run the model.

ChatGPT 5.4

Latest frontier model in the ChatGPT family, released in March 2026.
Comes in “Thinking” and “Pro” variants aimed at complex work and agents.
Strong at computer use tasks, such as driving a browser or desktop through code.
Integrated into ChatGPT for Plus, Team, and Pro users, and into the OpenAI API.
Supports long context windows around the one million token range in some modes.
Delivers top scores on coding and tool‑use benchmarks like SWE‑bench Pro and OSWorld.

A token is a piece of text, usually a few characters or a short word. The context window is the maximum number of tokens the model can read in one request.

Claude Opus 4.6

Anthropic’s most capable Claude model, released in February 2026.
Offers hybrid reasoning modes that switch between instant replies and deeper thinking.
Provides a beta one million token context window on the Claude Platform, with large outputs up to 128k tokens.
Excels at long coding tasks, code review, and large document reasoning.
Leads several high‑value benchmarks such as Humanity’s Last Exam, GDPval‑AA, Terminal‑Bench 2.0, and BrowseComp.
Emphasizes safety, with low rates of harmful or deceptive behavior in Anthropic’s audits.

Hybrid reasoning means the model can trade speed for more detailed thinking when needed. GDPval‑AA is a benchmark that measures performance on real knowledge work tasks.

Gemini 3.1 Pro

Google’s upgraded flagship Gemini model for complex reasoning tasks.
Achieves a 77.1 percent verified score on the ARC‑AGI‑2 reasoning benchmark.
Shows strong gains on Humanity’s Last Exam and other advanced academic tests.
Available through the Gemini app, Gemini API, Vertex AI, and NotebookLM.
Integrated into Google AI Pro and Ultra subscription plans with higher limits.
Supports large context windows around one million tokens for long problems.

ARC‑AGI‑2 is a benchmark that tests how well models solve new abstract logic puzzles. Humanity’s Last Exam is a graduate‑level reasoning test across many subjects.

How to Install or Set Up

Muse Spark (Meta AI)

Open the Meta AI website at meta.ai in a browser that Meta supports.
Sign in with a Facebook, Instagram, or WhatsApp account when prompted.
Install or update the Meta AI mobile app if available in your region.
On supported platforms, enable Meta AI in the settings or chat list.

ChatGPT 5.4

Go to chat.openai.com or open the ChatGPT mobile app.
Create an OpenAI account or sign in with an existing account.
Subscribe to ChatGPT Plus, Go, or Pro if you want access to 5.4 Thinking.
In the model selector, choose the ChatGPT 5.4 Thinking or Pro model when it appears.

Claude Opus 4.6

Visit claude.ai and create an Anthropic account.
Start on the Free tier if available in your region, or upgrade to Pro.
After upgrade, open a new chat and pick Opus 4.6 from the model menu.
Developers can instead create an account on console.anthropic.com and request API access.

Gemini 3.1 Pro

Open gemini.google.com or the Gemini app on Android or iOS.
Sign in with a Google account that supports Gemini.
Subscribe to Google AI Pro or Ultra to unlock 3.1 Pro access.
In the Gemini interface, select 3.1 Pro from the model options where available.

How to Run or Use It

Muse Spark

Start a chat inside the Meta AI app or on meta.ai. Ask a direct question, for example “Explain this lab test result in simple terms,” and attach a photo of the result.

Muse Spark reads the text and image together and returns an explanation, plus extra context like risk factors or next questions for a doctor. You can then ask follow‑up questions, such as asking it to summarise the answer into a short note for family.

Muse Spark also supports shopping and social use cases. You can paste a link to a product from Instagram or Facebook and ask for pros, cons, or similar items.

For creators, you can upload a screenshot of a post and ask how different audiences may react. The model can generate captions, comments, and ideas that match the platform style.

ChatGPT 5.4

Inside ChatGPT, select the 5.4 Thinking model when you want deeper planning. Start with a clear goal, such as “Design a four‑week study plan for Python with daily tasks.”

The model first outlines a plan, then shows the steps it will take before writing details. You can stop the thinking process and adjust the plan before it writes final content.

ChatGPT 5.4 also helps with computer use. In supported setups it can control a browser or desktop by writing scripts with tools like Playwright and by issuing mouse and keyboard actions.

Claude Opus 4.6

Claude Opus 4.6 works well when you paste long documents or large codebases. You can upload several files, then ask for tasks such as “Map every API endpoint in this repository and list missing tests.”

Claude uses its large context window to track details over many files and will often describe its plan before giving results.

You control how deeply Claude thinks through the effort setting. High effort leads to slower but more careful reasoning, while lower effort speeds up shorter tasks. This flexibility helps when you move between quick chat and detailed analysis.

Gemini 3.1 Pro

Gemini 3.1 Pro fits tasks that combine heavy reasoning with Google’s ecosystem. In the Gemini app you can ask it to “Compare three research papers on battery technology and summarise key differences in a table.”

Its strong scores on ARC‑AGI‑2 and other reasoning tests show in these multi‑step tasks.Through the Gemini API or Vertex AI, developers can connect 3.1 Pro to structured data, documents, or tools.

They can build chatbots, analysis pipelines, or NotebookLM setups that read large collections of PDFs and notes. Google AI Pro and Ultra plans raise usage limits and unlock features like Deep Research and Veo video tools around the same core model.

Benchmark Results

The table below summarises a few public, hard benchmarks where all four models have reported numbers.

Benchmark (higher is better)	Muse Spark	ChatGPT 5.4	Claude Opus 4.6	Gemini 3.1 Pro
GPQA Diamond reasoning score	89.5%	92.8%	92.7%	94.3%
Humanity’s Last Exam (HLE, no tools)	39.9%	41.6%	40.0%	44.4%
Artificial Analysis Intelligence Index	52	~higher than 52 (exact not public)	~higher than 52 (exact not public)	Top tier, ahead of Muse Spark

GPQA is a PhD‑level science question set that tests deep factual and reasoning skill. Humanity’s Last Exam measures performance on expert‑level questions across many domains.

For coding and agentic benchmarks, GPT‑5.4 and Claude Opus 4.6 usually lead.

GPT‑5.4 scores 57.7 percent on SWE‑bench Pro, a tough software bug‑fixing benchmark, and 75 percent on OSWorld, which measures operating a computer through code.

Claude Opus 4.6 tops Terminal‑Bench 2.0, an agent coding benchmark, and leads GDPval‑AA and BrowseComp, which track knowledge work and web search tasks.

Gemini 3.1 Pro leads many abstract reasoning tests, including ARC‑AGI‑2 at 77.1 percent.

Testing Details

Most public benchmarks now focus on hard reasoning and real tasks, not only simple exam questions. For this comparison, the scores come from vendor blogs, benchmark leaderboards, and independent reviews that match the same named tests.

GPQA Diamond and HLE numbers come from technical write‑ups that compare Muse Spark, Gemini 3.1 Pro, GPT‑5.4, and Claude Opus 4.6 on the same settings.

Comparison Table

Feature	Muse Spark	ChatGPT 5.4	Claude Opus 4.6	Gemini 3.1 Pro
Company	Meta	OpenAI	Anthropic	Google
Main focus	Everyday assistant in Meta apps	Professional work and agents	High‑stakes reasoning and coding	Complex reasoning and Google ecosystem
Context window	Large, exact size not yet public	Up to ~1M tokens in some modes	Up to 1M tokens in beta	Up to 1M tokens
Multimodal input	Text and images	Text, images, audio, and video in some tiers	Text and images, long documents	Text, images, and other media
Computer use / agents	Basic, still emerging focus	Strong browser and desktop control abilities	Strong agentic workflows for coding and tools	Strong reasoning plus early agent modes in Ultra plan
Safety emphasis	Health guidance tuned with doctors	Reduced hallucinations vs GPT‑5.2	Extensive safety audits and low over‑refusal rates	Google safety systems and guardrails

Agentic workflows are setups where the model breaks a goal into steps, calls tools, and reviews its own work.

Pricing Table

Prices here focus on consumer or small‑team access plans that unlock each model.

Tier type	Muse Spark (Meta AI)	ChatGPT 5.4 (OpenAI)	Claude Opus 4.6 (Anthropic)	Gemini 3.1 Pro (Google)
Free access	Free inside Meta AI app, meta.ai, and Meta platforms as rollout continues	Free ChatGPT tier with older models and limits	Free Claude tier with Sonnet, limited Opus tests in some regions	Gemini Free with lighter models like 2.5 Flash or older Pro versions
Main individual paid tier	None yet; usage is free during launch phase	ChatGPT Plus at 20 USD per month	Claude Pro at 20 USD per month, or 17 USD monthly on annual billing	Google AI Pro at 19.99 USD per month with Gemini 3.1 Pro access
Higher individual tier	Future paid API is planned, pricing not yet public	ChatGPT Pro at 200 USD per month for heavy users	Claude Max 5x at 100 USD and Max 20x at 200 USD per month	Google AI Ultra at 249.99 USD per month with higher limits and Veo video tools
Team or business plan	Private API preview for select partners; broader paid API coming	ChatGPT Team from about 25–30 USD per user per month	Claude Team seats from about 25 USD per user per month, with higher Premium options	Gemini Enterprise and broader Google Cloud pricing via Vertex AI and Gemini Enterprise
Enterprise	Large‑scale deals likely tied to Meta’s ad and cloud partners, details pending	ChatGPT Enterprise with custom contracts and pricing	Claude Enterprise with custom pricing and deployment options	Custom Google Cloud contracts that bundle Gemini 3.1 Pro with other services

Prices can vary by region, currency, and time, and vendors update plans frequently. Always check the current pricing pages before you decide.

USP

Each model offers a different core strength.

Muse Spark stands out because it aims to deliver near‑frontier performance for free inside products that billions of people already use, and it scores strongly on health and multimodal benchmarks.

ChatGPT 5.4 focuses on agent‑style computer use and broad tool support, with strong coding and knowledge work scores.

Claude Opus 4.6 sits in the middle of safety, long context, and high benchmark results, which makes it attractive for careful professional work.

Gemini 3.1 Pro leads several reasoning benchmarks and integrates closely with Google’s consumer apps and cloud platform.

Pros and Cons

Muse Spark

Pros:
- Free access inside Meta AI during launch, with plans for wide rollout.
- Strong health and multimodal performance, with top score on HealthBench Hard.
- Efficient model design that targets high capability with less compute.
Cons:
- No public self‑service API yet and limited enterprise tooling at launch.
- Weaker coding and long‑horizon agent performance than GPT‑5.4 and Opus 4.6.
- Ecosystem still new compared to OpenAI, Anthropic, and Google.

ChatGPT 5.4

Pros:
- Strong computer use features and support for agents controlling browsers and desktops.
- High scores on coding and knowledge work benchmarks like SWE‑bench Pro and GDPval.
- Wide ecosystem of ChatGPT apps, plugins, and third‑party integrations.
Cons:
- Full access to 5.4 Thinking and Pro sits behind paid plans.
- Pro tier at 200 USD per month may exceed many individual budgets.
- Data handling rules depend on plan type, so teams must read policies closely.

Claude Opus 4.6

Pros:
- Very strong performance on hard reasoning, coding, and knowledge work benchmarks.
- One million token context window in beta for very long documents.
- Strong safety profile with low rates of unsafe and over‑cautious responses.
Cons:
- Max tiers can become expensive for heavy individual use.
- Some cloud platforms expose smaller context windows than Anthropic’s own site.
- Free tier may not expose full Opus 4.6 capacity in all regions.

Gemini 3.1 Pro

Pros:
- Leading scores on ARC‑AGI‑2 and strong results on other reasoning tests.
- Deep integration with Google Docs, Gmail, NotebookLM, and Google Cloud.
- AI Pro and Ultra plans bundle storage, tools like Veo, and higher limits.
Cons:
- Best access requires paid Google AI Pro or Ultra subscriptions.
- Some features and models roll out later in certain countries.
- Ecosystem focuses on Google accounts, which may not suit every organisation.

Quick Comparison Chart

Aspect	Muse Spark	ChatGPT 5.4	Claude Opus 4.6	Gemini 3.1 Pro
Best suited for	Everyday users in Meta apps	Professionals needing agents and coding help	Teams handling long, careful work	Users in Google’s ecosystem needing strong reasoning
Strength highlight	Health and multimodal tasks	Coding, tool use, and agents	Long‑context reasoning and safety	Abstract and academic reasoning
Typical first paid tier	None, free during launch	Plus at 20 USD per month	Pro at 20 USD per month	Google AI Pro at 19.99 USD per month
Notable limit	API and enterprise tools still evolving	Full agent use at scale needs Pro or Enterprise	Highest context and effort settings cost more	Some advanced tools only in Ultra

Demo or Real‑World Example

Consider a realistic task: preparing for a specialist doctor appointment using lab reports and long articles.

With Muse Spark, you upload photos of lab reports and ask for a plain‑language explanation plus a short list of questions to ask the doctor. It excels at this because Meta tuned it for health information and visual understanding.
With ChatGPT 5.4, you paste longer medical articles and ask it to check claims against trusted sources using its browsing and deep research features.
With Claude Opus 4.6, you create a long note that combines lab values, previous prescriptions, and doctor advice. You then ask it to highlight trends, such as changes across several years, and to draft a structured history you can share during the appointment.
With Gemini 3.1 Pro, you give links to research papers through the Gemini app or NotebookLM and ask for a comparative summary focused on your condition.

You do not need to use all four models for every task. Instead, this example shows where each model can help in a single, complex scenario that mixes images, long text, and research.

Conclusion

Muse Spark, ChatGPT 5.4, Claude Opus 4.6, and Gemini 3.1 Pro all offer high‑end AI assistance, but they differ in access, strengths, and price. Muse Spark focuses on free access inside Meta’s products and shines on health and multimodal tasks.

ChatGPT 5.4 pushes forward on agents and computer use, Claude Opus 4.6 excels at long, careful reasoning, and Gemini 3.1 Pro leads several reasoning benchmarks and fits best inside Google’s stack.

FAQ

1. Which model is strongest at pure reasoning?

Public benchmarks place Gemini 3.1 Pro near the top on ARC‑AGI‑2 and several advanced reasoning tests, with Claude Opus 4.6 and GPT‑5.4 close behind.

2. Which option is best if I want a free tier?

Muse Spark currently offers frontier‑level capability for free through the Meta AI app and meta.ai, while ChatGPT, Claude, and Gemini all have free tiers with lower limits or older models.

3. Which model should I pick for coding work?

GPT‑5.4 and Claude Opus 4.6 both perform well on coding and agent benchmarks like SWE‑bench Pro and Terminal‑Bench 2.0, while Gemini 3.1 Pro also scores well on coding tests and integrates tightly with Google’s developer tools.

4. How important is the context window for most users?

A very large context window matters when you work with big codebases or long document sets; for short chats and everyday tasks, smaller windows are often enough.

5. How should I decide between these four models?

Match the model to your main environment and tasks: Meta apps and health content suggest Muse Spark, heavy coding and agents suggest ChatGPT 5.4 or Claude Opus 4.6, and deep reasoning inside Google’s ecosystem suggests Gemini 3.1 Pro.