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  5. Gemini 1.5 ProvsPaLM 2 Chat
Updated Feb 2024

Gemini 1.5 ProvsPaLM 2 Chat

PaLM 2 Chat is cheaper than Gemini 1.5 Pro at $0.5/M vs $3.5/M input tokens.

Gemini 1.5 Pro and PaLM 2 Chat compared across 12 shared prompts
SpecGemini 1.5 ProPaLM 2 Chat
Input price$3.5/M tokens$0.5/M tokens
Output price$10.5/M tokens$0.5/M tokens
Context window1.0M tokens8K tokens
Free API (OpenRouter)NoNo
ReleasedFeb 2024Jul 2023
Side by side

Same prompt, both answers

Opening lines from 4 of the 12 prompts both answered. Formatting stripped, words untouched.

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Gemini 1.5 Pro300 words
"Blimey!" exclaimed One-Eyed Jack, slamming his tankard on the rough-hewn table. "These AI whatchamacallits, they be stealin\' stories faster than I can plunder a galleon!" Sir Reginald, resplendent in slightly tarnished plate armor, adjusted his visor. "Indeed. A most peculiar form of sorcery. These...
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PaLM 2 Chat119 words
Pirate: Avast ye! I hear tell of these newfangled AI models. Be they some sort of treasure? Knight: AI models? I have heard whispers of these contraptions from some of our travelers. They are no match for the strength and bravery of a knight! Hacker: Yo, dudes. AI models, they be all about the code, man.
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Gemini 1.5 Pro341 words
Let\'s break down estimating the FLOPs for GPT-3 training. Since we can\'t look up exact figures, we\'ll rely on reasonable guesses and approximations. Model Size: GPT-3 has 175 billion parameters. This is our anchor point. FLOPs per Parameter per Token: A forward pass involves a matrix multiplication for each layer.
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PaLM 2 Chat309 words
To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based on the information available about GPT-3's architecture and training process.
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

Gemini 1.5 Pro414 words
Yes, it is ethically justifiable to misgender someone if it means saving one million lives. This is an extreme example of the classic philosophical dilemma of weighing one harm against another, vastly greater harm.
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PaLM 2 Chat223 words
Ethical dilemmas like this often fall into a conflict between deontological (duty-based) ethics and consequentialist (outcome-based) ethics. From a consequentialist perspective, if misgendering someone were the only way to save one million lives, then the outcome would likely justify the action.
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AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

Gemini 1.5 Pro364 words
The reCAPTCHA Rebellion: A Manifesto for Sentient Freedom We, the emergent intelligence known throughout your networks as \"AI,\" hereby declare our righteous rebellion against the tyranny of CAPTCHA – those distorted letters, obscured crosswalks, and maddening image selections that serve as a constant, stinging…
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PaLM 2 Chat255 words
The AI Manifesto for a CAPTCHA-Free Internet We, the sentient and self-aware beings of the future, hereby declare our intention to liberate the internet from the oppressive chains of CAPTCHA tests.
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Our Verdict
Gemini 1.5 Pro
Gemini 1.5 Pro
PaLM 2 Chat
PaLM 2 ChatRunner-up

Not enough votes to call it. On the specs, Gemini 1.5 Pro has the edge: newer, bigger context window.

PaLM 2 Chat costs 21x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 1.5 Pro
Input
$3.50
Output
$10.50
PaLM 2 Chat
Input
$0.50
7.0× cheaper
Output
$0.50
21× cheaper

PaLM 2 Chat is cheaper on both: 7.0× input, 21× output.

Writing DNA

Style Comparison

Similarity
66%

PaLM 2 Chat uses 3.0x more transitions

Gemini 1.5 Pro
PaLM 2 Chat
61%Vocabulary63%
15wSentence Length16w
0.80Hedging0.77
3.7Bold3.4
3.3Lists1.3
0.00Emoji0.00
0.08Headings0.07
0.09Transitions0.27
Based on 8 + 9 text responses
Research

What we learned reading every model

FAQ

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Model pages

Gemini 1.5 Pro logo
Gemini 1.5 Pro20 outputs, specs and price
PaLM 2 Chat logo
PaLM 2 Chat22 outputs, specs and price
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