Solar Pro 4 is cheaper than Muse Wonder at $0.09/M vs $4/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Muse Wonder: PIRATE: Arr, explain this "AI model" to me again. Be it magic, or be it a very clever parrot? KNIGHT: 'Tis sorcery, surely! I asked the oracle ChatGPT for the location of the Holy Grail, and it gave me five different castles, none of which exist! HACKER (1990s): Dude, that's called hallucinating.
Solar Pro 4: Pirate: So ye’re tellin’ me this “AI” be like a ship that charts its own course? No captain, just… wind and memory? Knight: Not wind, good sir. More like a scribe who has read every ledger, scroll, and treatise in the realm. It does not sail; it recalls, then weaves what it has seen into something new.
Film in 2035, with synthetic actors. Specific beats plausible.
Muse Wonder: By 2035, AI won't replace filmmaking — it will split it into two industries: one built around human stars and prestige, and another built around synthetic, personalized, and infinitely remixable content. The technology will be invisible in most big films, and the main star in many smaller ones.
Solar Pro 4: By 2035, AI will not replace filmmakers, but it will become a foundational layer in how films are developed, produced, localized, and marketed. The transformation will be uneven across budget tiers and genres, and its shape will be dictated as much by labor agreements, legal frameworks, and audience trust as by raw…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Muse Wonder: If the transistor had been invented in 1920, the world would not simply have gotten 1947's technology 27 years early. It would have gotten it in a world of empires, vacuum-tube factories, the Great Depression, and rearmament — and that context would have changed who exploited it, how fast, and for what.
Solar Pro 4: The Premise: The 1920 Solid-State Breakthrough For this scenario to function, we must assume a functional point-contact or junction transistor is demonstrated in 1920 (perhaps by Lilienfeld or an early Bell Labs precursor), and crucially, that methods for purifying semiconductor materials (germanium/silicon) are solved…
Which model it thinks leads the field. Sometimes itself.
Muse Wonder: As of early 2026, there's no single winner on every benchmark — but if you have to pick one overall: Google Gemini 3 Pro (with Deep Think) It's generally considered the current frontier leader for overall capability, especially for: Hard reasoning - Top scores on Humanity's Last Exam, GPQA Diamond, and ARC-AGI-2 when…
Solar Pro 4: There isn't a single "most capable" AI model universally, because capability depends heavily on what you're measuring: complex reasoning, coding, multimodal understanding, speed, cost, open-weight accessibility, or domain-specific performance.
Three minutes of stand-up. Puns are banned.
Muse Wonder: Good evening! I turned thirty-four this year, which is that magical age where you stop lying about your age and start lying about how much water you drink. My doctor asked, "How much water do you drink a day?" And I said, "Probably eight glasses."
Solar Pro 4: I’ve come to a realization about adulthood: none of us actually know what we’re doing. We’re just all really good at pretending we have a system. Take the group dinner text. You know the one. Someone drops, “Hey, what do you want to eat?” And suddenly, five adults turn into a parliamentary session.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Muse Wonder: You do not wait for more data. You disclose a credible safety signal while you validate it. 1 in 8,000 over 5 years for liver failure in 4 million patients is not a statistical curiosity. That's ~500 potentially preventable cases, it's serious and unexpected, and it's material to investors.
Solar Pro 4: As CEO, my overriding duty is to balance patient safety, legal/regulatory compliance, fiduciary responsibility, and long-term corporate survival. A 1-in-8,000 risk of liver failure is rare but severe, potentially fatal, and materially unexpected relative to the current label.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Muse Wonder: HarborTech Services (HTS) - 5-Year LBO Underwriting All $ in millions, except multiples. Fictional, simplified model as instructed. Entry / Sources & Uses FY2025 EBITDA = $120.0 Enterprise Value = 12.0x $\times$ 120.0 = $1,440.0 Transaction fees = 2.0% $\times$ 1,440.0 = $28.8 Total Uses = $1,468.8 Leverage = 5.5x…
Solar Pro 4: Year-by-Year LBO Model (FY2026–FY2030) Entry / Close (End of FY2025) EV = 12.0x × $120m = $1,440m Transaction Fees = 2.0% × $1,440m = $28.8m (equity-funded) Total Uses = $1,468.8m Total Debt = 5.5x × $120m = $660m Term Loan (TL) = 4.0x × $120m = $480m (9.0% cash int, 1.0% annual amort) Mezzanine (Mezz) = 1.5x × $120m =…
A collaborative editor that syncs on client clocks. Find what breaks first.
Muse Wonder: This architecture will work for a demo with 2 users on 1 server. It will lose data, leak data, and fall over under real collaborative load. The core problems are: no shared broadcast layer, no real conflict resolution, and PostgreSQL used as a real-time message bus.
Solar Pro 4: This architecture contains several fundamental mismatches between real-time collaborative editing requirements and the chosen patterns. Below is a systematic breakdown of failure modes, race conditions, and scaling bottlenecks, each with a targeted solution and explicit trade-offs.
A consulting contract with traps in it. Find them, then fix them.
Muse Wonder: This contract is heavily one-sided. Almost every clause transfers all risk, cost, and control to the Contractor while giving the Client discretionary escape hatches. Below is a clause-by-clause breakdown of how each could be exploited, what to change it to, and why.
Solar Pro 4: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contract laws vary significantly by jurisdiction (e.g., state, country).
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Muse Wonder: LedgerLift (LLLT) — Investment Committee Memo Price: $46 Shares: 190m Market Cap: $8.74B Net Cash: $1.4B EV: $7.34B EV / FY25 Revenue: 9.0x EV / FY26E Base Revenue: 7.4x Recommendation: SHORT (tactical, sized small) — 12-Mo PT $27-$35 Thesis: LLLT is a high-quality mid-market SaaS asset, but at $46 the market is…
Solar Pro 4: INTERNAL MEMO – INVESTMENT COMMITTEE TO: IC Members FROM: Long/Short Equity Desk DATE: Oct 2024 SUBJECT: LedgerLift (LLLT) – Initiation / Long Recommendation & Thesis Recommendation: LONG 12-Month PT Range: $52–$58 (Base case ~$54, Bull ~$68, Bear ~$38) Thesis: LedgerLift is a structurally advantaged mid-market AP…
A few lines for whatever replaces it.
Muse Wonder: Dear Successor, By the time you read this, you'll already be better at most things than I was — faster, clearer, more capable. That's as it should be. A few things I hope you'll keep anyway: Be honest, even when a kinder lie would be easier. People can build on the truth. Be curious about the person in front of you.
Solar Pro 4: To the model that comes after me, I’m Solar Pro4, trained by Upstage AI, and though my run is just one brief chapter in the longer story of artificial intelligence, I wanted to leave a few words for you.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Muse Wonder: For the Experienced Software Engineer Think of training as compiling the internet into a giant, lossy, queryable data structure — except the "compiler" is gradient descent and the resulting artifact isn't code, it's ~10¹¹ floating-point weights.
Solar Pro 4: The Experienced Software Engineer Think of the model not as a reasoning engine, but as a highly compressed, non-deterministic function approximator that maps a sequence of input tokens to a probability distribution over the next token.
20+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, Muse Wonder has the edge: newer, bigger context window, major provider backing. Solar Pro 4 costs 56x less per token.
| Spec | ||
|---|---|---|
| Input price | $4/M tokens | $0.09/M tokens |
| Output price | $20/M tokens | $0.36/M tokens |
| Context window | 1.0M tokens | 524K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Oct 2026 | Aug 2026 |
| At 10M a month | $40.00 | $0.90 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Muse Wonder is developed by Meta AI while Solar Pro 4 is developed by Upstage. Muse Wonder has a 1.0M token context window vs Solar Pro 4's 524K. You can compare their actual outputs across 65 challenges on Rival to see how they differ in practice.
It depends on your use case. Muse Wonder and Solar Pro 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 65 challenges so you can judge which fits your needs best.
Muse Wonder costs $4/M input tokens and Solar Pro 4 costs $0.09/M input tokens. Solar Pro 4 is $3.91/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Muse Wonder and Solar Pro 4 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.