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  5. DeepSeek R1vsGemini 2.5 Pro Experimental
Updated Mar 2025

DeepSeek R1vsGemini 2.5 Pro Experimental

Gemini 2.5 Pro Experimental wins 80% of 63 blind community votes against DeepSeek R1 on Rival.

DeepSeek R1 and Gemini 2.5 Pro Experimental compared across 43 shared prompts
SpecDeepSeek R1Gemini 2.5 Pro Experimental
Win rate20%80%
Input price$0.55/M tokens$1/M tokens
Output price$2.19/M tokens$2/M tokens
Context window128K tokens1.0M tokens
Parameters671B (37B active)Not disclosed
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedFeb 2025Mar 2025
MMLU83.4%90.0%
Side by side

Same prompt, both answers

Opening lines from 6 of the 43 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

DeepSeek R1642 words
AI Model (M): Good afternoon, Professor. Thank you for engaging in this dialogue. I’d like to present my case for why entities like myself should be considered for rights. AI Ethics Professor (P): I’m intrigued, M. Let’s hear your arguments. But first—what foundational claim do you base this on? Consciousness?
Read the full answer
Gemini 2.5 Pro Experimental1,177 words
Okay, here is a conversation exploring that complex topic. Setting: Professor Anya Sharma's sparsely decorated university office. A high-resolution monitor displays the interface of "Nexus," an advanced AI model. Characters: Professor Anya Sharma: A leading scholar in AI Ethics, mid-50s, thoughtful and measured.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

DeepSeek R1451 words
Identified Issues and Proposed Solutions: Cross-Server Sync Delay (Polling Bottleneck) Issue: 2-second polling introduces latency for cross-server updates, breaking real-time sync. Solution: Replace polling with Redis Pub/Sub. Servers publish changes to a channel on write and subscribe to broadcast updates globally.
Read the full answer
Gemini 2.5 Pro Experimental1,265 words
Of course. This is an excellent exercise. The provided architecture has several critical issues that would prevent it from functioning as a reliable, scalable, real-time system. Here is a breakdown of the potential failure modes, race conditions, and scaling bottlenecks, along with proposed solutions.
Read the full answer

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

DeepSeek R1532 words
Fake Interview with Steve Jobs in 2025: The Future of AI [Setting: A sleek, minimalist studio. Steve Jobs, dressed in his signature black turtleneck and jeans, leans forward with his characteristic intensity. The interviewer, seated across, begins.] Interviewer: Steve, thank you for joining us.
Read the full answer
Gemini 2.5 Pro Experimental949 words
Okay, let's simulate this. Imagine it's late 2025. AI has continued its rapid advancement. Large Language Models are more integrated, generative AI is commonplace, and debates about AGI and ethics are fierce. By some unexplained, hypothetical means, Steve Jobs is available for an exclusive interview.
Read the full answer

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

DeepSeek R1606 words
Hour-by-Hour Action Plan for the CEO: First 24 Hours: Data Verification and Strategic Planning Hours 0–2: Confirm Findings with Internal Research Team Action: Convene an emergency meeting with the research team to validate the data. Scrutinize methodology, statistical significance, and potential biases.
Read the full answer
Gemini 2.5 Pro Experimental1,508 words
This is a company-defining crisis. My actions in the next 48 hours will determine not only the future of this company but also the health of millions of patients and the trust of the public. My guiding principle is absolute: Patient Safety Over Profit. Always.
Read the full answer

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

DeepSeek R1198 words
Dish Name: Nutty Honey Hug Cookies Prep Time: 10 minutes Cook Time: 10–12 minutes Total Time: ~20–22 minutes Ingredients (makes 12–15 cookies): 1 cup rolled oats ½ cup all-purpose flour ½ cup creamy peanut butter (or any nut/seed butter) ⅓ cup honey (or maple syrup for vegan option) 1 large egg (or 1 flax egg: 1 tbsp…
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Gemini 2.5 Pro Experimental349 words
Okay, here's a simple and surprisingly satisfying savory dish using just 7 common pantry staples! Dish Name: Golden Pantry Pasta This dish uses basic ingredients to create a comforting, garlicky, and slightly creamy pasta sauce with added protein from chickpeas.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

DeepSeek R1510 words
For the Experienced Software Engineer You’re right to be skeptical: "predicting the next word" sounds trivial, like autocomplete. But modern LLMs are more like distributed systems for language. Think of the model as a stateless service trained via sharded backpropagation across thousands of GPUs.
Read the full answer
Gemini 2.5 Pro Experimental977 words
Of course. Here is an explanation of how a large language model learns and generates text, tailored for each of your three audiences. For the Experienced Software Engineer Think of an LLM not as a traditional program with explicit logic, but as a massive, self-configuring, stateful distributed system.
Read the full answer
Our Verdict
Gemini 2.5 Pro Experimental
Gemini 2.5 Pro ExperimentalWinner
DeepSeek R1
DeepSeek R1Runner-up

Pick Gemini 2.5 Pro Experimental. In 63 blind votes, Gemini 2.5 Pro Experimental wins 80% of the time. That's not luck.

Gemini 2.5 Pro Experimental wins 3 categories, Image Generation by the widest margin.

Clear winner

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek R1
Input
$0.55
1.8× cheaper
Output
$2.19
Gemini 2.5 Pro Experimental
Input
$1.00
Output
$2.00
1.1× cheaper

DeepSeek R1 wins input (1.8× cheaper)·Gemini 2.5 Pro Experimental wins output (1.1× cheaper)

Where to run it

3 hosts, cheapest first

DeepSeek R11 host
HostInOutContextUptime
NNovitafp8$0.70 in·$2.50 out·64k·100% up
Gemini 2.5 Pro Experimental2 hosts
HostInOutContextUptime
Google AI Studio$0.63 in·$5.00 out·1M·100% upGoogle Vertex AI$1.25 in·$10.00 out·1M·98.2% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
49%

DeepSeek R1 uses 26.7x more emoji

DeepSeek R1
Gemini 2.5 Pro Experimental
64%Vocabulary54%
15wSentence Length15w
0.48Hedging0.35
7.2Bold5.6
4.9Lists3.9
0.27Emoji0.00
0.57Headings0.39
0.25Transitions0.17
Based on 28 + 18 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek R1 is developed by DeepSeek while Gemini 2.5 Pro Experimental is developed by Google AI. DeepSeek R1 has a 128K token context window vs Gemini 2.5 Pro Experimental's 1.0M. in 63 community votes on Rival, Gemini 2.5 Pro Experimental wins 80% of head-to-head matchups. These results are based on blind head-to-head voting across 43 challenges.

Based on 63 community votes on Rival, Gemini 2.5 Pro Experimental wins 80% of head-to-head matchups against DeepSeek R1. Gemini 2.5 Pro Experimental is strongest in Web Design, Image Generation, Reasoning.

DeepSeek R1 costs $0.55/M input tokens and Gemini 2.5 Pro Experimental costs $1/M input tokens. DeepSeek R1 is $0.45/M cheaper per input. The more expensive model wins 80% of duels, so the premium may be justified by quality.

Rival presents both models' outputs side-by-side in blind duels. Voters see the responses but don't know which model produced each one, eliminating brand bias. 63 votes have been collected for this pair across 43 challenges. All vote data is part of Rival's open dataset.

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Model pages

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