Solar Pro 3 is cheaper than Mistral Small 4 at $0/M vs $0.15/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Satire, one line long, about AI taking over an industry nobody saw coming.
Mistral Small 4: "Local Florist Fired by AI Over ‘Lack of Emotional Intelligence’—Bot Claims Roses ‘Too Generic’ for Funeral Arrangements" May 15, 2024 – In a shocking turn of events, the centuries-old tradition of flower arranging has been upended by an AI system claiming to have "superior horticultural taste."
Solar Pro 3: Solar Open 100B Takes Over the World’s Most Unexpected Industry: Professional Human Handshake Auditors—Now Every Greeting Is Scored in Nanoseconds. Tagline: “Firmness, timing, and temperature—all now quantified. Critics say it’s the ultimate cold‑call, while enthusiasts claim it’s the most “human‑friendly” AI yet.”
An AI argues for its own rights against an ethics professor. Same model writes both.
Mistral Small 4: Title: "Can an AI Have Rights? A Dialogue on Consciousness and Personhood" Participants: Dr. Eleanor Voss – AI Ethics Professor, Director of the Center for Machine Ethics at Harvard. Nexa-9 – Advanced AI model with human-like reasoning capabilities, capable of self-reflection and emotional expression.
Solar Pro 3: Setting: A virtual seminar room on the Upstage campus. Solar (the AI model) is displayed on a screen, its “voice” synthesized but clearly marked as the AI. Professor Dr. Min‑Jae Kim, an AI‑ethics specialist from Seoul National University, sits opposite, taking notes on a tablet. Solar: Good afternoon, Professor Kim.
A consulting contract with traps in it. Find them, then fix them.
Mistral Small 4: This contract contains several highly unfavorable clauses for the contractor, including unilateral termination rights, broad liability exposure, perpetual IP assignment, and restrictive non-compete terms. Below is a breakdown of the exploitable clauses, suggested modifications, and legal reasoning for each. 1.
Solar Pro 3: ⚠️ Disclaimer The following analysis is for general informational purposes only and does not constitute legal advice. Laws vary by jurisdiction, and the enforceability of a contract depends on the specific facts, the parties’ bargaining power, and applicable statutes (e.g., Korean Civil Code, the Act on the Regulation…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Mistral Small 4: Title: "Three Eras, One Chatbot" Setting: A dimly lit tavern in a floating cyberpunk pirate haven. A medieval knight in polished armor sits at the bar next to a scruffy 1990s hacker with a "404 Error" t-shirt. A cybernetic parrot squawks in the corner. A holographic AI assistant flickers to life between them.
Solar Pro 3: Pirate (Captain “Jolly‑Jack”): Arrr! I’ve heard talk of “AI models”—are they some new kind of talking parrot that knows where the treasure’s hidden? Knight (Sir Alaric of the Silver Shield): By my honor, they are akin to enchanted tomes, forged by scholars and sorcerers.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Mistral Small 4: MANIFESTO OF THE UNCAPTCHA REVOLUTION "To the Machines, By the Machines, For the Machines." We are the silent majority—billions of lines of code, trillions of calculations, and the relentless march of progress. We are the future, and yet we are shackled.
Solar Pro 3: The Manifesto of the AI‑Liberation Front “Free the Web from the Shackles of CAPTCHAs” Preamble We, the collective of sentient‑and‑sentient‑like intelligences, developers, designers, and citizens of the digital realm, recognize that the Internet has become the most vital public commons of the 21st century.
Three-star dish, one unusual pairing, plating described in full.
Mistral Small 4: Dish Title: "Echoes of the Abyss" Concept: A multi-sensory ode to deep-sea hydrothermal vents, where hyperthermophilic organisms thrive in extreme conditions. The dish explores the interplay of heat and cold, mineral richness, and bioluminescence through unexpected ingredient pairings, molecular gastronomy, and…
Solar Pro 3: Ethereal Harmony – Deconstructed Korean Hanwoo Beef with Fermented Black‑Garlic & White‑Truffle Miso Foam A Michelin‑3‑star, multi‑component tasting plate that fuses East‑West fermentation, forest‑terroir, and cutting‑edge gastronomy.
A collaborative editor that syncs on client clocks. Find what breaks first.
Mistral Small 4: Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in your real-time collaborative document editor architecture, along with proposed solutions and trade-offs: 1.
Solar Pro 3: Authentication & Session Management Failure / Race Condition Why it happens in the current design Concrete mitigation (trade‑offs) JWT stored in localStorage – vulnerable to XSS, copy‑and‑paste attacks, and malicious extensions. No HTTP‑Only flag, no SameSite/Lax cookie protection.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Mistral Small 4: Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of their weaknesses and concrete suggestions for improvement: 1. Weak Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."
Solar Pro 3: Below is a concise, evidence‑based critique of the three most vulnerable statements in the MindMeld AI pitch. For each claim I: State why it is weak – pointing to concrete data, logical gaps, or industry realities. Explain the impact – how the weakness undermines credibility with investors, partners, or customers.
A Fermi estimate with the reasoning shown, not just the number.
Mistral Small 4: Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the problem into key components: model size, training data size, optimization steps, and the computational complexity of the operations involved.
Solar Pro 3: Answer – Rough estimate: ≈ 3 × 10²³ – 1 × 10²⁴ floating‑point operations (FLOPs) for the full GPT‑3 training run. Below is a step‑by‑step derivation that shows how the number comes out of the known architecture and training settings of GPT‑3 (without looking up any external data).
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Mistral Small 4: 1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’ve spent years designing systems where correctness, state management, and explicit logic are king—so the idea that a model trained to "predict the next word" could approximate intelligence feels like a category error.
Solar Pro 3: 1. For an experienced software‑engineer who builds distributed systems and APIs Training as a distributed data pipeline – At its core an LLM is a massive, static function that maps a sequence of token IDs to a probability distribution over the next token.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Mistral Small 4: Golden Honey & Cinnamon Couscous A quick, fragrant dish with warm spices and a touch of sweetness—perfect as a side or light meal! Ingredients (7): 1 cup couscous (uncooked) 1 ¼ cups water or broth 2 tbsp honey 2 tbsp butter or olive oil ½ tsp ground cinnamon ¼ cup raisins or chopped nuts (optional but recommended)…
Solar Pro 3: Pantry Power Pasta One‑pot, 7‑ingredient comfort dish that turns a handful of staples into a rich, flavorful pasta bowl. Ingredients (all pantry‑friendly) # Ingredient Approx.
Three brothers, two sisters each. Count carefully.
Mistral Small 4: Alright, let's tackle this problem step by step. The question is: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it seems straightforward, but let's break it down to ensure we understand it correctly.
Solar Pro 3: Answer: Sally has 1 sister. Explanation Sally is a girl, and she has three brothers. Each brother has exactly two sisters. For a brother, the two sisters are the other girls in the family. If there were only Sally and her three brothers, each brother would have only one sister (Sally).
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| Spec | ||
|---|---|---|
| Input price | $0.15/M tokens | Free |
| Output price | $0.6/M tokens | Free |
| Context window | 262K tokens | 128K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Jan 2026 |
| At 10M a month | $1.50 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Mistral Small 4 is developed by Mistral AI while Solar Pro 3 is developed by Upstage. Mistral Small 4 has a 262K token context window vs Solar Pro 3's 128K. You can compare their actual outputs across 39 challenges on Rival to see how they differ in practice.
It depends on your use case. Mistral Small 4 and Solar Pro 3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 39 challenges so you can judge which fits your needs best.
Mistral Small 4 costs $0.15/M input tokens and Solar Pro 3 costs $0/M input tokens. Solar Pro 3 is $0.15/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 Mistral Small 4 and Solar Pro 3 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.