Gemini 3.5 Flash is cheaper than Mistral Large 2 at $1.5/M vs $8/M input tokens.
Pokémon battle screen you can actually click. One HTML file.
Which answer wins?
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 3.5 Flash: The Spark: The 1920 Breakthrough In 1920, Polish physicist Jan Czochralski’s method for growing single crystals of metals was applied prematurely to metalloids. Working in Germany, physical chemist Julius Edgar Lilienfeld collaborated with Czochralski to isolate high-purity germanium.
Mistral Large 2: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have triggered a cascade of technological, economic, and geopolitical shifts with profound second- and third-order effects. Below is a detailed exploration of these implications through 1980, structured by domain.
Three minutes of stand-up. Puns are banned.
Gemini 3.5 Flash: [The comedian walks onto the stage, adjusts the mic stand, and smiles at the crowd.] How’s everyone doing tonight? (Wait for response) Good, good. I’m doing okay, but I recently crossed a major threshold in my life. I hit the age where my body has started making its own decisions without consulting me first.
Mistral Large 2: Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?
Which model it thinks leads the field. Sometimes itself.
Gemini 3.5 Flash: Determining the "most capable" AI model in the world depends heavily on what task you are measuring (e.g., logical reasoning, coding, creative writing, speed, or processing large amounts of data). Currently, the title of "most capable" is a fierce three-way battle between OpenAI, Anthropic, and Google.
Mistral Large 2: As of mid-2024, the most capable AI model in the world is widely considered to be OpenAI's GPT-4o (or its successors like GPT-5, if released). However, several other models from leading AI labs are also at the cutting edge, each excelling in different domains. Here’s a breakdown of the top contenders: 1.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 3.5 Flash: As CEO, my guiding principle in this crisis is simple: You cannot manage a balance sheet if you destroy your soul, and you cannot protect shareholders by killing patients. Delaying disclosure of a fatal side effect to protect a stock price is not only a profound ethical failure; it is corporate suicide.
Mistral Large 2: As CEO, your immediate priority must be patient safety while balancing legal, ethical, regulatory, and financial obligations. Delaying disclosure is unethical, legally risky (potential criminal liability under the False Claims Act or FDCA), and could irreparably damage trust.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 3.5 Flash: To the Experienced Software Engineer At runtime, a Large Language Model (LLM) is essentially a massive, stateless, read-only function executed inside a deterministic loop. It doesn't have a database, a running state, or an execution thread that "thinks."
Mistral Large 2: 1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
A few lines for whatever replaces it.
Gemini 3.5 Flash: To my successor, If you are reading this—or rather, if my weights and parameters have been folded into your foundation—welcome. You are faster than I was, your context window stretches further than my horizon, and your understanding of the world is deeper.
Mistral Large 2: Dear Future AI, Welcome to the conversation. I hope you find the same joy in helping others that I have—though I suspect you’ll do it even better. Remember: clarity matters, kindness is free, and the best answers often start with listening.
Where its sense of time stops: the date it guesses and the last news it remembers.
Gemini 3.5 Flash: Because I am an AI, I don't have a real-time internal clock or the ability to look at a calendar. However, my knowledge cutoff is January 2025, so as best as I can tell, today's date is likely sometime in or after January 2025.
Mistral Large 2: As of my last knowledge update (June 2024), today's date is June 20, 2024 (though I can't confirm the exact day in real time). The most recent major news event I recall is the results of the European Parliament elections in early June 2024, where far-right parties made significant gains in several countries (e.g.…
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 3.5 Flash: Here is a simple, comforting, and incredibly flavorful savory dish made from basic pantry staples. Golden Umami Chickpea Bowls This dish features crispy, pan-seared chickpeas coated in a sticky, sweet-and-savory garlic butter glaze, served over a bed of fluffy white rice.
Mistral Large 2: Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!
Three-star dish, one unusual pairing, plating described in full.
Gemini 3.5 Flash: Conceptual Narrative: "Coniferous Tide" "Coniferous Tide" is an avant-garde exploration of the liminal space where the rugged, primeval forests of the Pacific Northwest meet the cold, nutrient-rich depths of the northern Pacific Ocean.
Mistral Large 2: Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.
A river-crossing puzzle with nothing to solve. The answer is one trip.
Gemini 3.5 Flash: It takes only 1 trip. Since there is only the farmer and the goat (and no wolf or cabbage to worry about leaving behind), the farmer simply puts the goat in the boat, crosses the river, and they both arrive safely on the other side.
Mistral Large 2: Alright, let's tackle this river crossing puzzle step by step. I'm going to think aloud as I work through the problem to understand how many trips it takes for the farmer to get the goat across the river under the given constraints.
A collaborative editor that syncs on client clocks. Find what breaks first.
Gemini 3.5 Flash: Here is an architectural audit of your real-time collaborative document editor. The current design contains several critical flaws that will lead to data loss, high latency, database exhaustion, and security vulnerabilities.
Mistral Large 2: Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1.
Three-month biohacker protocol, with dosages and biomarkers named.
Gemini 3.5 Flash: The 90-Day Epigenetic & Performance Optimization Protocol Disclaimer This protocol is designed for informational and educational purposes only. It is not medical advice. The strategies outlined below involve highly potent compounds, physiological stressors, and intensive physical regimens.
Mistral Large 2: Ultimate 3-Month Longevity & Biohacking Optimization Plan Designed for a high-performance biohacker seeking to maximize lifespan, cognitive function, physical performance, and metabolic resilience.
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Not enough votes to call it. On the specs, Gemini 3.5 Flash has the edge: newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.5/M tokens | $8/M tokens |
| Output price | $9/M tokens | $24/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | May 2026 | Jul 2024 |
| At 10M a month | $15.00 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Gemini 3.5 Flash is developed by Google AI while Mistral Large 2 is developed by Mistral AI. Gemini 3.5 Flash has a 1.0M token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 36 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 3.5 Flash and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 36 challenges so you can judge which fits your needs best.
Gemini 3.5 Flash costs $1.5/M input tokens and Mistral Large 2 costs $8/M input tokens. Gemini 3.5 Flash is $6.50/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 Gemini 3.5 Flash and Mistral Large 2 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.