Muse Wonder: How to Get Access, Pricing & Fixes (2026)

Meta released its first true frontier AI model on October 12, 2026 — Muse Wonder — and within hours, developers hit the same confusion: where do you actually get it, how much does it cost, and why isn't it working the way the announcement implies? The launch got covered everywhere, but nobody explained the setup or the breakage. This is the practical guide: what Muse Wonder is, the three access routes, real pricing, and fixes for the six most common setup problems developers are hitting right now. Muse Wonder is Meta's frontier LLM series, built by Meta's Superintelligence Labs and announced October 12, 2026. Meta calls it the product of over a year of research and infrastructure work, trained at a gigawatt-scale data center called Prometheus. It follows the Muse Spark 1.3 release from April 2026, using the same pretraining and RL approach. Two variants, built for "personal and professional agentic tasks" — long-running agents that plan work, call tools in parallel, delegate to sub-agents, and recover from errors: Active Memory — carries important context about you across conversations and pulls it back when relevant, so agents working over days or weeks don't lose the plot. Active Focus — keeps the agent grinding on a hard goal through blockers: trying alternative approaches, adapting to new information, checking in before consequential actions. Meta claims "state-of-the-art" on agent, memory, and coding evaluations plus domain expertise in law, finance, and health. Treat Meta's benchmark numbers as vendor-reported until independent runs confirm them. The single biggest source of confusion — they are not available through the same channels: Muse Wonder Muse Wonder Full Model Standard frontier variant Maximum-reasoning variant for the hardest, longest jobs Meta Model API Available now (muse-wonder-1.0) Not available — no API access at launch Muse Code Included Included (subscriber plans) Muse app Rolling out to subscribers first Rolling out to subscribers first Reported pricing $4 / 1M input, $20 / 1M output, $0.20 cached input No per-token price; subscription-only AI Index (Artificial Analysis v4.3) 52 56 (2nd globally, behind Claude Opus 5.5 at 58) Key takeaway: if you want to call the model from your own code, only the standard Muse Wonder is available. Wonder Full — the variant with the headline benchmark scores — is locked behind a Muse Code subscription. Fastest route for your own applications. The Meta Model API is OpenAI-compatible — most existing code works if you change the base URL and model name: Go to dev.meta.ai and create an account. Generate an API key under API keys. Set up billing — no free tier, so a card is required. Point your client at https://api.meta.ai/v1 with model muse-wonder-1.0. Minimal working call: from openai import OpenAI client = OpenAI( base_url="https://api.meta.ai/v1", api_key="YOUR_META_API_KEY", ) response = client.chat.completions.create( model="muse-wonder-1.0", messages=[{"role": "user", "content": "Summarize this lease and flag anything unusual."}], ) print(response.choices[0].message.content) The API also accepts the Anthropic Messages format (Claude-built tools work too), and the model is listed on OpenRouter as meta/muse-wonder. Muse Code is Meta's coding agent, and currently the only way to access Wonder Full. Subscribe to a Muse Code plan (reported $50 and $200/month tiers) and Wonder Full runs as the default engine. Meta says Muse Wonder "will soon power experiences in Muse," rolling out to paying subscribers first ($20 or $100 monthly plans reported). No date announced. If you're waiting to try it casually, this is the queue — but don't expect it in your app today. Meta hasn't published an official pricing page — figures below are reported across multiple outlets, not Meta-confirmed: API (Muse Wonder): ~$4 per million input tokens, ~$20 per million output tokens, ~$0.20 per million cached input tokens. Roughly equivalent to Claude Opus 5.5's headline rate — though one user reported a single Wonder Full run consuming 38% of a weekly Muse Code allowance, so long agent jobs are compute-heavy. Muse Code (Wonder Full): reported $50/month and $200/month tiers. Muse app: reported $20 or $100 monthly plans when the rollout begins. Budget rule of thumb: per-token pricing looks modest, but agentic workloads burn tokens fast — especially reasoning models on long tasks. Set billing alerts before running agents unattended. API and Muse Code availability is region-dependent. Fix: check Meta's developer docs for the supported-regions list. This is account-region enforcement — a VPN won't reliably fix billed API access. reasoning_effort to "none" reasoning_effort accepts minimal through max — it does not support none, and sending it returns a 400. Fix: omit reasoning_effort entirely (the model picks a level) or use minimal. By design, not a bug: Wonder Full is not served through the Meta Model API at launch. No hidden endpoint exists. Fix: subscribe to a Muse Code plan — the only announced route to the Full variant. On the Chat Completions endpoint, reasoning doesn't persist across turns, making multi-turn agent conversations inconsistent. Fix: use the Responses API with previous_response_id to preserve reasoning context. No free tier — billing must be set up on your Meta developer account or calls fail at auth. Fix: confirm the key was generated under API keys at dev.meta.ai, billing is active, and you're using https://api.meta.ai/v1 as the base URL (not a legacy Meta AI endpoint). The rollout is announced as forthcoming for subscribers — no date. Fix: nothing to toggle. Paid plans ($20/$100 reported) are first in line; use the API route (Route 1) meanwhile. Launch-reported figures (vendor-reported where noted — independent confirmation pending): Benchmark Muse Wonder Full Claude Opus 5.5 AI Intelligence Index v4.3 56 (2nd) 58 DeepSWE 1.1 (coding) 79% 74.2% SWE-Marathon (long tasks) 57.5% (Meta) 46.3% (Meta) MemoryBench (long-term recall) Leads (Meta) Behind Pattern: Wonder Full leads on long-horizon coding evals but trails Opus 5.5 on the overall index. Meta's safety-evaluation report wasn't published at launch — worth watching before production workloads. How do I get access to Muse Wonder? muse-wonder-1.0, OpenAI-compatible, billing required), (2) a Muse Code subscription — the only way to get Wonder Full, (3) the Muse app, rolling out to subscribers first, no date announced. How much does Muse Wonder cost? What's the difference between Muse Wonder and Wonder Full? Can I use Muse Wonder for free? Originally published on The Glitch Fixer — Muse Wonder: How to Get Access, Pricing & Fixes (2026)