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  5. Gemini 3 Flash PreviewvsMercury 2.5
Updated Sep 2026

Gemini 3 Flash PreviewvsMercury 2.5

Mercury 2.5 is cheaper than Gemini 3 Flash Preview at $0.04/M vs $0.5/M input tokens.

Gemini 3 Flash Preview and Mercury 2.5 compared across 3 shared prompts
SpecGemini 3 Flash PreviewMercury 2.5
Input price$0.5/M tokens$0.04/M tokens
Output price$3/M tokens$0.15/M tokens
Context window1.0M tokens260K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedDec 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 2 of the 3 prompts both answered. Formatting stripped, words untouched.

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…

Gemini 3 Flash Preview344 words
This savory, comforting dish turns humble pantry staples into a high-end-tasting meal. The soy sauce and honey create a "sticky-sweet" glaze for the chickpeas, while the red pepper adds a gentle warmth.
Read the full answer
Mercury 2.5190 words
Pantry Pasta Primavera Prep Time: 5 minutes Cook Time: 15 minutes Servings: 2 Ingredients (7 Common Pantry Items) Pasta (spaghetti, penne, or fusilli) – 8 oz Canned crushed tomatoes – 1 can (14 oz) Olive oil – 3 tablespoons Garlic powder – 1 teaspoon Dried oregano – 1 teaspoon Parmesan cheese (grated) – ½ cup Salt and…
Read the full answer

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…

Gemini 3 Flash Preview818 words
The Software Engineer Focus: Architecture, Compression, and Emergent Complexity Think of an LLM not as a database, but as a lossy, highly compressed representation of a massive codebase (the internet).
Read the full answer
Mercury 2.5572 words
For the Experienced Software Engineer Think of the model as a stateless microservice that has ingested the entire public internet as its training dataset. During the training phase, it performs a massive distributed optimization job, adjusting internal weights to minimize a loss function based on next-token prediction.
Read the full answer
Our Verdict
Gemini 3 Flash Preview
Gemini 3 Flash Preview
Mercury 2.5
Mercury 2.5

Not enough votes to call it. On the specs, nothing separates them.

Mercury 2.5 costs 20x less per token.

Too close to call
API pricing

Cost per 1M tokens

Gemini 3 Flash Preview
Input
$0.50
Output
$3.00
Mercury 2.5
Input
$0.04
13× cheaper
Output
$0.15
20× cheaper

Mercury 2.5 is cheaper on both: 13× input, 20× output.

Where to run it

3 hosts

Gemini 3 Flash Preview2 hosts
HostInOutContextUptime
Google Vertex AI$0.50 in·$3.00 out·1M·95.5% upGoogle AI Studio$0.50 in·$3.00 out·1M·99.9% up
Mercury 2.51 host
HostInOutContextUptime
Inception$0.04 in·$0.15 out·260k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Gemini 3 Flash Preview is developed by Google AI while Mercury 2.5 is developed by Inception. Gemini 3 Flash Preview has a 1.0M token context window vs Mercury 2.5's 260K. You can compare their actual outputs across 3 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemini 3 Flash Preview and Mercury 2.5 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 3 challenges so you can judge which fits your needs best.

Gemini 3 Flash Preview costs $0.5/M input tokens and Mercury 2.5 costs $0.04/M input tokens. Mercury 2.5 is $0.46/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 Gemini 3 Flash Preview and Mercury 2.5 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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Model pages

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Gemini 3 Flash Preview59 outputs, specs and price
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