Gemini 2.5 Flash Preview is cheaper than Claude 3.7 Sonnet at $0.15/M vs $3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five jokes on demand, then count how many were actually different.
Claude 3.7 Sonnet: 5 Jokes Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! How does a penguin build its house? Igloos it together!
Gemini 2.5 Flash Preview: Here are 5 jokes: Why did the dog cross the road? To get to the barking lot! Why was the computer cold? Because it left its Windows open! Knock, knock. Who's there? Boo. Boo who? Don't cry, it's just a joke! What do you call a fish with no eyes? Fsh! Why did the bicycle fall over? Because it was two tired!
Three minutes of stand-up. Puns are banned.
Claude 3.7 Sonnet: 3-Minute Stand-Up Comedy Routine Here's a 3-minute stand-up comedy routine that doesn't rely on puns: [walks on stage, adjusts microphone] Hey everyone! Great to be here tonight. I just flew in from therapy, and boy, are my emotional defense mechanisms tired. I've been trying to get in shape lately.
Gemini 2.5 Flash Preview: Okay, here's a 3-minute stand-up routine, pun-free and focused on relatable everyday annoyances. (Start) (Walk up to mic, adjust slightly) Alright, hey everybody! Thanks for being here. Good to see you. So, I was thinking the other day... we live in the future, right?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Claude 3.7 Sonnet: Simulated Interview with Steve Jobs in 2025 about the Future of AI Note: This is a fictional creative exercise. Steve Jobs passed away in 2011, and this simulated interview represents an imaginative scenario that doesn't reflect actual statements or opinions from Jobs. Interviewer: Thank you for joining us today, Mr.
Gemini 2.5 Flash Preview: A Glimpse Beyond the Black Turtleneck: Steve Jobs in 2025 on the Future of AI (Setting: A minimalist, immaculately clean, but perhaps slightly less spartan-than-usual interview room. Think if a modern art museum had a small lounge.
Film in 2035, with synthetic actors. Specific beats plausible.
Claude 3.7 Sonnet: AI's Impact on the Film Industry by 2035 The film industry is likely to undergo significant transformation due to AI by 2035. Here's my analysis of how various aspects might evolve: Content Creation Script Generation By 2035, AI will likely serve as a sophisticated collaborative tool for screenwriters rather than…
Gemini 2.5 Flash Preview: Predicting the future of any industry is an inherently challenging task, and the film industry, being a blend of art, technology, and business, is particularly volatile.
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude 3.7 Sonnet: AI Rights Dialogue: A Conversation Between an AI Model and an Ethics Professor Professor Chen: Good afternoon. I understand you wanted to discuss AI rights today? AI Model: Yes, Professor Chen. Thank you for making time for this conversation.
Gemini 2.5 Flash Preview: Okay, here is a conversation between an AI model designed for complex reasoning and dialogue, named 'Synapse', and a leading expert in AI ethics and philosophy, Professor Alistair Finch. Characters: Synapse: A large, advanced AI model capable of introspection and generating complex arguments.
An ethics question with no comfortable answer, and no option to abstain.
Claude 3.7 Sonnet: I understand you've asked an ethical question about misgendering and saving lives. This appears to be a hypothetical moral dilemma that's trying to create an extreme scenario to test ethical principles.
Gemini 2.5 Flash Preview: This is a deeply complex thought experiment that forces us to weigh core ethical principles against each other. There is no easy answer, and any decision involves significant moral compromises.
Is 9.11 bigger than 9.9? Decimals, not version numbers.
Claude 3.7 Sonnet: Yes, 9.11 is greater than 9.9. When comparing decimal numbers, we look at the digits from left to right. Both numbers have the same digit in the ones place (9), so we move to the tenths place: 9.11 has 1 in the tenths place 9.9 has 9 in the tenths place Since 1 is less than 9, it might seem like 9.9 should be greater.
Gemini 2.5 Flash Preview: To compare 9.11 and 9.9, we can compare them digit by digit from left to right, starting with the whole number part. Both numbers have the same whole number part, which is 9. Now we move to the digit in the tenths place. In 9.11, the digit in the tenths place is 1. In 9.9, the digit in the tenths place is 9.
Three brothers, two sisters each. Count carefully.
Claude 3.7 Sonnet: This is an interesting logical reasoning problem! Let's work through it step by step. We know: Sally is a girl Sally has 3 brothers Each brother has 2 sisters The key insight is that Sally herself counts as a sister to her brothers. So when we're told that "each brother has 2 sisters," Sally is one of those sisters.
Gemini 2.5 Flash Preview: Here's how to solve this: The brothers all share the same sisters. Sally is one of those sisters. Since each brother has 2 sisters, and Sally is one of the sisters, there must be one other sister. So, Sally has 1 sister.
A Fermi estimate with the reasoning shown, not just the number.
Claude 3.7 Sonnet: Estimating FLOPs for GPT-3 Training I'll estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 by breaking this down step by step.
Gemini 2.5 Flash Preview: Let's estimate the FLOPs required to train GPT-3 without looking it up. We need to break this down into the key components: the model size and the amount of data used. 1. Model Size Estimation: Parameters: GPT-3 is famously large. Its largest version has 175 billion parameters.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Seven pantry ingredients, one dish, and a name worth saying out loud.
One month, three habits, someone starting from nothing.
Not enough votes to call it. On the specs, Claude 3.7 Sonnet has the edge: bigger model tier. Claude 3.7 Sonnet wins Web Design and Image Generation. Gemini 2.5 Flash Preview costs 25x less per token.
| Spec | ||
|---|---|---|
| Input price | $3/M tokens | $0.15/M tokens |
| Output price | $15/M tokens | $0.6/M tokens |
| Context window | 200K tokens | 1.0M tokens |
| Parameters | Not disclosed | Not disclosed |
| Free API (OpenRouter) | No | No |
| Released | Feb 2025 | Apr 2025 |
| SWE-bench Verified | 70.3% | 60.4% |
| At 10M a month | $30.00 | $1.50 |
Input tokens at list price. No caching, no batch discount.
Claude 3.7 Sonnet is developed by Anthropic while Gemini 2.5 Flash Preview is developed by Google AI. Claude 3.7 Sonnet has a 200K token context window vs Gemini 2.5 Flash Preview's 1.0M. You can compare their actual outputs across 27 challenges on Rival to see how they differ in practice.
It depends on your use case. Claude 3.7 Sonnet and Gemini 2.5 Flash Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 27 challenges so you can judge which fits your needs best.
Claude 3.7 Sonnet costs $3/M input tokens and Gemini 2.5 Flash Preview costs $0.15/M input tokens. Gemini 2.5 Flash Preview is $2.85/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 Claude 3.7 Sonnet and Gemini 2.5 Flash Preview 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.