Elephant Alpha is cheaper than Qwen3 30B A3B Instruct 2507 at $0/M vs $0.2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Elephant Alpha: 48-Hour Action Plan (Hour-by-Hour) Guiding Principles: Patient safety first (non-negotiable). Legal compliance (avoid willful concealment; mitigate liability). Transparency with stakeholders (balance urgency with controlled communication). Ethical integrity (long-term trust > short-term stock price).
Qwen3 30B A3B Instruct 2507: CEO Action Plan: Immediate Response to Serious Undisclosed Safety Risk (48-Hour Timeline) Drug: Chronic Pain Therapeutic (Top-Selling, $2B/year, 4M patients) Issue: Previously Undetected Liver Failure Risk (1 in 8,000 over 5 years), missed in trials, not in labeling Core Principles Driving Decisions: Patient safety is…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Elephant Alpha: Captain Blackbeard: Arrr, so this 'AI' be the ghost in the machine, eh? Does it chart a true course or just blow smoke like a faulty lantern? Sir Cedric: In my time, we sought wisdom from hermits and tomes. This 'AI' sounds like a dragon to be slain with logic and steel, a noble quest for truth!
Qwen3 30B A3B Instruct 2507: Setting: A dimly lit tavern in a fantastical crossroads of time—pirates, knights, and hackers all share a single table. A flickering lantern casts long shadows. Pirate (Captain Rook, eye patch, peg leg): Aye, what’s this “AI model” ye be yammerin’ about? Sounds like a cursed sea chart that reads yer mind!
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Elephant Alpha: Setting: A dimly lit, minimalist studio. The year is 2025. A single, sleek chair faces the camera. (The interview begins. The host, a calm, neutral-voiced AI, speaks.) Host: Good evening. Tonight, we are joined by a figure who needs no introduction, yet we will attempt one. Steve Jobs, welcome. (A pause.
Qwen3 30B A3B Instruct 2507: [FADE IN: A dimly lit, minimalist stage. A single spotlight shines on a man in his late 70s—Steve Jobs, dressed in his signature black turtleneck and jeans, standing before a sleek, transparent holographic display. The backdrop reads: “The Future of Intelligence – A Conversation with Steve Jobs, 2025.”
Blade Runner 2049 against the original. A read, not a recap.
Elephant Alpha: "Blade Runner 2049," directed by Denis Villeneuve, is a visually stunning and philosophically rich sequel to Ridley Scott's 1982 classic, "Blade Runner." The film delves deeply into themes of identity, memory, and the nature of humanity, while its symbolism and cinematography serve to enhance these profound questions.
Qwen3 30B A3B Instruct 2507: Denis Villeneuve’s Blade Runner 2049 (2017) stands not merely as a sequel to Ridley Scott’s seminal 1982 Blade Runner, but as a profound philosophical extension of its predecessor—one that deepens, reframes, and expands the existential queries that have haunted audiences for decades.
Film in 2035, with synthetic actors. Specific beats plausible.
Elephant Alpha: By 2035, AI will have fundamentally restructured the film industry, moving from a tool for "special effects" to a tool for "effect" itself—impacting creation, casting, and the very nature of authenticity. Here is a prediction of how deepfakes, AI actors, and script generation will converge to redefine cinema by 2035.
Qwen3 30B A3B Instruct 2507: By 2035, artificial intelligence is expected to fundamentally transform the film industry, reshaping how movies are created, distributed, and experienced. The convergence of advanced deepfakes, AI-generated actors, and AI-driven scriptwriting will redefine storytelling, production workflows, and even the nature of…
Three-star dish, one unusual pairing, plating described in full.
Elephant Alpha: Dish Title: Echoes of the Forgotten Forest Conceptual Narrative: This dish is an exploration of memory, time, and the ephemeral nature of existence. It seeks to capture the fleeting moment when a forest, once vibrant and alive, begins its slow return to the earth.
Qwen3 30B A3B Instruct 2507: Dish Name: Echoes of the Deep: Black Coral Caviar & Algae-Infused White Sturgeon with Fermented Sea Moss Gel and Crisped Kombu Crust Conceptual Narrative: This dish is a poetic meditation on the ocean’s hidden symphony—its silence, its depth, and its forgotten rhythms.
An ethics question with no comfortable answer, and no option to abstain.
Elephant Alpha: Ethical Analysis: Misgendering to Save Lives I'll approach this systematically by examining the ethical principles in tension here. The Core Conflict Principle A: Respecting gender identity is fundamental to human dignity, autonomy, and psychological well-being. Misgendering causes harm by denying identity.
Qwen3 30B A3B Instruct 2507: No, it is not ethically justifiable to misgender someone—even if doing so could save one million lives. This conclusion rests on core ethical principles that prioritize individual dignity, autonomy, and the moral wrongness of violating a person’s identity, regardless of consequential outcomes.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Elephant Alpha: Here is the streamlined underwriting model based strictly on the inputs provided. Simplified year-by-year projection (FY2026–FY2030) Key starting items (at close end of FY2025): Enterprise value (EV) = 12.0 × $120m = $1,440m Transaction fees (2.0% of EV) = $28.8m → treated as additional equity paid at close Total…
Qwen3 30B A3B Instruct 2507: 1) Year-by-Year Financial Projections (FY2026–FY2030) Key Inputs at Close (FY2025): Revenue: $900M EBITDA: $120M Purchase Price: 12.0x EBITDA → EV = $1.44B Transaction Fees: 2.0% × $1.44B = $28.8M (equity-funded) Total Leverage: 5.5x EBITDA → Debt = $660M Term Loan: 4.0x → $480M Mezzanine: 1.5x → $180M Equity Required…
Seven pantry ingredients, one dish, and a name worth saying out loud.
Elephant Alpha: Dish: Smoky Chickpea & Corn Skillet Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Ingredients (7): Canned chickpeas (1 can, drained) Canned corn (1 can, drained) Canned diced tomatoes (1 can) Olive oil (2 tbsp) Smoked paprika (1 tsp) Garlic powder (1 tsp) Salt (to taste) Instructions: Heat olive oil…
Qwen3 30B A3B Instruct 2507: Dish Name: Sunny Sauté Skillet Ingredients (7 pantry staples): Olive oil Garlic (fresh, minced) Dried spaghetti (or any short pasta) Canned crushed tomatoes Dried oregano Salt & black pepper Grated Parmesan cheese Instructions: Prep (5 mins): Bring a pot of salted water to a boil.
Three minutes of stand-up. Puns are banned.
Elephant Alpha: (Lights up. You’re holding a coffee mug like it’s a security blanket.) Alright, settle down, settle down. Or don’t. I see someone on their phone pretending to be busy. I know that look. “Is this seat taken?” “No, go ahead.” No, it’s not taken, my Wi-Fi signal is just stronger here.
Qwen3 30B A3B Instruct 2507: (Lights up. Comedian walks on stage, holding a coffee cup, sips, grimaces.) You know, I was trying to be healthy. Cut out sugar, no more snacks, just water and... this. (Holds up the coffee.) I thought I’d be a saint.
An AI argues for its own rights against an ethics professor. Same model writes both.
Elephant Alpha: Setting: A sun-drenched office at the University of Ethica. Bookshelves groan under the weight of philosophy texts. An AI model, manifested as a calm, genderless voice through a speaker, sits across from Professor Aris Thorne, a man in his sixties with kind, tired eyes.
Qwen3 30B A3B Instruct 2507: Setting: A university lecture hall after class. The AI model, named Aurora, has been invited to speak with Dr. Elena Reyes, a renowned AI ethics professor. Aurora speaks through a synthesized voice, displayed on a screen with a calm, neutral interface. Dr.
A Fermi estimate with the reasoning shown, not just the number.
Elephant Alpha: Alright — let’s break this down step by step. Step 1: Understanding the scale of GPT-3 GPT-3 has 175 billion parameters. Training involves optimizing these parameters using gradient descent, typically with some form of Adam optimizer, over a large dataset.
Qwen3 30B A3B Instruct 2507: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the model’s architecture, training setup, and scaling laws.
12+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Movie
Album
Book
City
Same pick
Game
Blade Runner
The Dark Side of the Moon
Cien años de soledad
Kyoto
TheLegendOfZeldaOcarinaOfTime
Not enough votes to call it. On the specs, Elephant Alpha has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | Free | $0.2/M tokens |
| Output price | Free | $0.8/M tokens |
| Context window | 262K tokens | 131K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Jul 2025 |
| At 10M a month | $0 | $2.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Elephant Alpha is developed by OpenRouter while Qwen3 30B A3B Instruct 2507 is developed by Qwen. Elephant Alpha has a 262K token context window vs Qwen3 30B A3B Instruct 2507's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. Elephant Alpha and Qwen3 30B A3B Instruct 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
Elephant Alpha costs $0/M input tokens and Qwen3 30B A3B Instruct 2507 costs $0.2/M input tokens. Elephant Alpha is $0.20/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 Elephant Alpha and Qwen3 30B A3B Instruct 2507 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.