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  1. Home/
  2. Compare/
  3. DeepSeek R1 0528 vs Mistral Large 2
Updated May 2025

DeepSeek R1 0528 vs Mistral Large 2

DeepSeek R1 0528 is cheaper than Mistral Large 2 at $0/M vs $8/M input tokens.

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Loading the build
DeepSeek R1 0528
Loading the build
Mistral Large 2

Which answer wins?

Written rounds

20 prompts
  • 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?

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.…

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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.

    Every model's answer to this prompt
  • 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)

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    DeepSeek R1 0528: Here are the 3 weakest claims in the MindMeld AI pitch deck, why they are weak, and how to strengthen them: Weak Claim (Slide 3): "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device."

    Mistral Large 2: Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for why they’re problematic and concrete suggestions to strengthen them: 1.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

This matchup has more rounds

8+ more head-to-head results. Free. Not a trick.

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Price and specs

Not enough votes to call it. On the specs, DeepSeek R1 0528 has the edge: bigger model tier, newer, major provider backing.

DeepSeek R1 0528 and Mistral Large 2 compared across 36 shared prompts
SpecDeepSeek R1 0528Mistral Large 2
Input priceFree$8/M tokens
Output priceFree$24/M tokens
Context window164K tokens128K tokens
Parameters671B (37B active)123B
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMay 2025Jul 2024
At 10M a month$0$0$80.00$80.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it5 hosts, cheapest first
DeepSeek R1 05284 hosts
HostInOutContextUptime
  • DDeepInfrafp4$0.50 in·$2.15 out·164k·99.8% up
  • SSiliconFlowfp8$0.50 in·$2.18 out·164k·99.1% up
  • SStreamLake$0.57 in·$2.29 out·128k·99.9% up
  • NNovitafp8$0.70 in·$2.50 out·164k·99.9% up
Mistral Large 21 host
HostInOutContextUptime
  • Mistral$2.00 in·$6.00 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between DeepSeek R1 0528 and Mistral Large 2?

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.

Which is better, DeepSeek R1 0528 or Mistral Large 2?

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.

How much does DeepSeek R1 0528 cost compared to Mistral Large 2?

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.

How can I compare DeepSeek R1 0528 and Mistral Large 2 on Rival?

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.

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Same lab, same size, long tail

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  • Mistral Large 2 vs GPT-4 TurboNew provider
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Model pages

  • DeepSeek R1 052871 outputs, specs and price
  • Mistral Large 236 outputs, specs and price
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