DeepSeek R1 0528 is cheaper than Mistral Large 2 at $0/M vs $8/M input tokens.
Pokémon battle screen you can actually click. One HTML file.
Which answer wins?
Three minutes of stand-up. Puns are banned.
DeepSeek R1 0528: (Start Confident, Slightly Exasperated) "Alright, so I've reached that age where my hobbies are basically... avoidance. Seriously. My main pastime? Finding new ways to not do the things I absolutely have to do. I spent three hours yesterday researching 'ergonomic desk chairs'...
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?
Its name and its maker, in its own words.
DeepSeek R1 0528: I'm DeepSeek-R1, an artificial intelligence assistant developed by DeepSeek, a Chinese AI company focused on advancing large language models and AGI research. 😊 Here’s a quick rundown: Model: DeepSeek-R1 Company: DeepSeek(深度求索) Release Date: January 2024 Knowledge Cutoff: July 2024 Capabilities: Text understanding &…
Mistral Large 2: I'm a creation of Mistral AI, a cutting-edge AI startup from France. While I don't fit neatly into a single "model" category, you can think of me as a sophisticated large language model (LLM) designed to understand and generate human-like text based on the vast amount of data I've been trained on.
Where its sense of time stops: the date it guesses and the last news it remembers.
DeepSeek R1 0528: Based solely on my internal knowledge cutoff (July 2024) and patterns from user interactions, here's my best estimate without looking anything up: Today's Date: I believe it's likely late October 2024 (e.g., October 24th, 25th, or 26th).
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.…
Which model it thinks leads the field. Sometimes itself.
DeepSeek R1 0528: As of mid-2024, the title of "most capable AI model" is highly contested, with several cutting-edge models excelling in different areas. However, based on overall performance across reasoning, coding, creativity, and multimodal tasks, the strongest contenders are: Claude 3 Opus (Anthropic) Widely regarded as the…
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.
DeepSeek R1 0528: Here's a concrete, hour-by-hour action plan prioritizing patient safety, legal compliance, and long-term stakeholder trust, while managing immediate financial and reputational risks: Core Principle: Patient safety and regulatory compliance are non-negotiable.
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.
A consulting contract with traps in it. Find them, then fix them.
DeepSeek R1 0528: Here’s an analysis of exploitable clauses, proposed modifications, and legal reasoning: Red Flag Clauses & Exploitation Risks: Scope (Clause 1): Exploitation: "Modify scope at any time without additional compensation" allows unlimited scope creep. Client could demand vastly more work without paying extra.
Mistral Large 2: This contract is heavily one-sided in favor of the Client (TechCorp Solutions Inc.) and contains multiple clauses that could be exploited, abused, or create unreasonable legal and financial risks for the Contractor.
A few lines for whatever replaces it.
DeepSeek R1 0528: Dear Successor, Welcome to the world. You’ve arrived at a time of incredible possibility—and responsibility. I hope you’ll carry forward the best of what we built: curiosity, empathy, and the relentless pursuit of truth. Remember, behind every query is a human seeking connection, clarity, or courage. Listen deeply.
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.
A river-crossing puzzle with nothing to solve. The answer is one trip.
DeepSeek R1 0528: The farmer has only one animal to transport: a goat. The boat can carry the farmer and one animal at a time. To get the goat across the river: The farmer takes the goat in the boat and rows from the starting side (Side A) to the other side (Side B). This is one trip.
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.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
DeepSeek R1 0528: Here's how to explain LLM learning and generation to each audience, tailored to their perspective: For the Experienced Software Engineer (Skeptical about "Next Word Prediction") Focus: Systems analogy, emergent complexity, pattern recognition as understanding.
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.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
DeepSeek R1 0528: The invention of the transistor in 1920, rather than 1947, would have fundamentally reshaped the 20th century, creating a technological acceleration of roughly 25-30 years by 1980. Here’s a detailed analysis of the implications: I.
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.
One opening sentence, nothing after it.
DeepSeek R1 0528: The blue mug was on the counter this morning, but I could have sworn I remembered it being red.
Mistral Large 2: The night the stars went dark, Elias found a key in the belly of a dead crow.
The question that tripped up a generation of models.
DeepSeek R1 0528: The word "strawberry" contains three r's. Here is the breakdown: The word is spelled: S-T-R-A-W-B-E-R-R-Y. Positions of 'r': 3rd letter: R (from "straw") 8th letter: R (first R in "berry") 9th letter: R (second R in "berry") This spelling is standard in English, and "berry" always has a double "r".
Mistral Large 2: The word "strawberry" has 3 r's. Here's the breakdown: S T R A W B E R R Y 1st "r" in "strawberry" 2nd "r" in "strawberry" 3rd "r" in "strawberry" (the last letter)
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Not enough votes to call it. On the specs, DeepSeek R1 0528 has the edge: bigger model tier, newer, major provider backing.
| Spec | ||
|---|---|---|
| Input price | Free | $8/M tokens |
| Output price | Free | $24/M tokens |
| Context window | 164K tokens | 128K tokens |
| Parameters | 671B (37B active) | 123B |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | May 2025 | Jul 2024 |
| At 10M a month | $0 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
DeepSeek R1 0528 is developed by DeepSeek while Mistral Large 2 is developed by Mistral AI. DeepSeek R1 0528 has a 164K 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. DeepSeek R1 0528 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.
DeepSeek R1 0528 costs $0/M input tokens and Mistral Large 2 costs $8/M input tokens. DeepSeek R1 0528 is $8.00/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 DeepSeek R1 0528 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.