Meta Muse Spark Open vs GPT 6 Astra vs Claude Opus 5.5

Author: Data Science in your pocket · Watch on YouTube

Video authored by the channel shown, not by IANIA; all rights belong to the creator. Transcript and summary generated automatically; the original-language content is preserved.

Original language: English

Original video: Meta Muse Spark Open vs GPT 6 Astra vs Claude Opus 5.5 · Channel: Data Science in your pocket · 05:29 · Watch on YouTube

Topics: AI evaluation and benchmarks, Model inference and optimization, Local and open-source models, AI safety

Summary

The video compares Meta Muse Spark Open, Claude Opus 5.5, and GPT-6 Astra as three different trade-offs: downloadable open weights, a managed model, and a highly capable flagship with access restrictions. It covers their availability, licensing, architecture, context and output limits, pricing, benchmark caveats, modalities, tooling, safety controls, and practical costs. The narrator cautions that most benchmark results are vendor-reported and not directly comparable because versions differ. Rather than declaring one model the winner, the video recommends choosing based on whether you prioritize control, cost-sensitive managed work, or premium capabilities and tools.

Key points

Muse Spark Open was released on October 15, 2026; Claude Opus 5.5 on September 22; and GPT-6 Astra on September 3, according to the video.
Muse Spark Open offers downloadable weights, but its license is not OSI open source or Apache 2.0 and includes attribution requirements and prohibited uses.
Muse discloses a sparse mixture-of-experts architecture with 816 billion total parameters and 42 billion active; Opus and Astra disclose no architecture details.
The models have roughly one million tokens of context, while Opus and Astra cap output at 128,000 tokens; Muse has not published an output limit.
The video says hosted Muse is the cheapest, but warns that list price is not the same as cost per task.
Benchmark comparisons are limited: most scores are vendor-reported, and differing benchmark versions prevent a clean winner.
Muse accepts text, images, video, and audio as input across 100-plus languages, but only produces text; Opus and Astra accept text and images and produce text.
Astra’s web search, file search, computer use, and Codex integrations are presented as an ecosystem advantage rather than proof of a model advantage.
The video describes distinct safety and access controls: Muse’s license restrictions, Anthropic’s silent request rerouting, and OpenAI’s vetted access for advanced cybersecurity work.
The closing recommendation is to choose a model based on priorities: Muse for control and self-hosting, Opus for cost-sensitive managed work, or Astra for premium managed capabilities and tools.

Chapters

Start	Chapter	Summary
00:00	Three different deals and release-date context	The video introduces the three models as distinct trade-offs and clarifies their release dates and names.
01:01	Access, specifications, pricing, and benchmark caveats	It compares licensing and access, disclosed specifications, pricing, and the limitations of vendor-reported benchmark results.
03:14	Modalities, tooling, and safety gates	The narrator contrasts input and output modalities, Astra’s integrations, and the models’ different safety and access controls.
04:22	Practical costs and the verdict	The video highlights hardware and pricing caveats, then recommends selecting a model according to the user’s priorities.

Quotes

It’s three different deals. — 00:00

The versions don’t line up, so there is no clean winner. — 02:41

That’s an ecosystem edge, not a model edge. — 03:14

The verdict is a router, not a podium. — 04:55

Concepts and entities

Muse Spark Open, Claude Opus 5.5, GPT-6 Astra, Meta, Anthropic, OpenAI, Artificial Analysis Index, Hugging Face, Daybreak, Codex

Full transcript (original language)

00:00 As of October 16th, 2026, the frontier of AI isn’t one race anymore. It’s three different deals. Deal one, a giant model you can download. Deal two, a managed workhorse that just got cheaper. Deal three, a flagship so capable its own maker gates parts of it. Meta’s Muse Spark Open and Anthropic’s Claude Opus 5.5 and OpenAI’s GPT-6 Astra. And the hook, Muse Spark Open shipped yesterday, October 15th. One day old. Let’s see what each deal really costs. First,

00:30 ground truth, because the naming is a minefield. All three models are real and officially released. Muse Spark Open landed October 15th. Claude Opus 5.5 arrived September 22nd. GPT-6 Astra has been out since September 3rd. Now the lookalikes. Muse Spark Open is not Muse Spark 1.3, not Glimmer, not Wonder. GPT-6.1 Astra was reportedly canceled. It doesn’t exist. GPT-6.1 Soul is a separate model. And no, none

01:01 of these is AGI, whatever the headlines say. How you get each model is the first real split. Muse Spark Open is open weights. Download the parameters from Hugging Face, free. Run it yourself or rent it hosted. But there’s an asterisk, the Muse model license. Not OSI open source, not Apache 2.0. You owe attribution. Big hosting providers need a separate Meta agreement. And some uses are banned outright. Opus and Astra are closed, hosted, API only. Opus runs on Anthropic’s API and all three major clouds. Astra sits behind OpenAI’s API

01:35 and paid ChatGPT tiers. Free tier users don’t get it. Now the hard numbers. Only Muse discloses its architecture, a sparse mixture of experts. 816 billion parameters total, 42 billion active. Opus and Astra disclose nothing. Context is nearly a tie, about a million tokens each, Astra slightly ahead. On output, Opus and Astra cap at 128,000 tokens. Opus with a 300,000 batch option. Muse hasn’t published a limit. The list prices on screen tell most of the story.

02:07 Hosted Muse is press reported and cheapest by far, then Opus, then Astra. Plus a steep surcharge past 272,000 input tokens. One warning, list price is not cost per task. Benchmarks carefully. Almost everything on screen is vendor reported. None of it independently verified. The exception is the Artificial Analysis Index. Third party scoring Muse at 39 and Opus at 58 at max effort. Meta’s table leads with MCP Atlas, Terminal Bench, and Humanity’s Last Exam with tools. Anthropic counters on Terminal Bench at high effort, HLE,

02:41 and a partial OS World. OpenAI adds GPQA Diamond at 96. It looks comparable. It isn’t. Meta ran Terminal Bench 2.1. The other two ran 4.0. OS World is 2.1 for Anthropic, 2.0 for OpenAI. The versions don’t line up, so there is no clean winner. And anyone merging these into one leaderboard is selling you something. Meta’s own table reportedly trails open rivals Kimmy K3, GLM 5.3, and Qwen 3.8 on Terminal Bench. Modalities next. Muse is the interesting

03:14 one. Text, images, video, and audio as input across 100-plus languages. But output? Text only. It won’t draw you a picture or speak back. Opus and Astra take text and images in, text out. Astra has no native audio or video generation, either. Where Astra pulls ahead is the tooling around it. Web search, file search, computer use, Codex integrations. That’s an ecosystem edge, not a model edge. But if your workflow lives there, it matters. Safety is three literal gates. Gate one, a download. Muse’s license bans military and

03:49 critical infrastructure uses. But once the weights are your disk, enforcement is mostly on our system. Gate two, a silent reroute. Anthropic’s classifiers quietly send flag requests to older models. Cyber mostly to Opus 4.8, biology and distillation to Opus 5, and the response never tells you. 2 and 1/2 to 4% of Anthropic’s own benchmark requests got rerouted. Gate three, trusted access. OpenAI rates Astra as first critical level cybersecurity capability under its preparedness framework. Production Astra refuses

04:22 advanced exploit work. Vetted researchers apply through Daybreak. Now, the receipts. Muse, the BF16 checkpoint is about 1.5 terabytes, and even compressed it wants roughly 700 GB of VRAM. That 2 Mac Studio demo, the hardware wasn’t shipping yet, and there’s no independent launch day validation. Opus, thinking is always on. You cannot disable it, and artificial analysis tracking suggests heavy output token use keeps real cost per task near Opus 5 despite the lower list price. Astra, cross 272,000 input tokens and

04:55 prices jump. Fast mode doubles the bill, and OpenAI’s own system card admits reduced chain of thought monitorability under adversarial prompting. Three flavors of fine print. So, who wins? Wrong question. The verdict is a router, not a podium. Need control, the weights, self-hosting, fine-tuning, multimodal input? That’s Muse Spark Open. If you can carry the hardware and the license. Need cost-sensitive managed coding and agent work, million token context, 128,000 tokens out for dollars in and 20 out? That’s Claude Opus 5.5. Need

05:29 maximum managed capability, the tools, computer use, premium everything inside stricter gates? That’s GPT-6 Astra. Three deals, one frontier. Which one you sign depends on what you’re optimizing for.