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  5. Llama 4 ScoutvsMercury 2.5
Updated Sep 2026

Llama 4 ScoutvsMercury 2.5

Mercury 2.5 is cheaper than Llama 4 Scout at $0.04/M vs $0.25/M input tokens.

Llama 4 Scout and Mercury 2.5 compared across 20 shared prompts
SpecLlama 4 ScoutMercury 2.5
Input price$0.25/M tokens$0.04/M tokens
Output price$0.5/M tokens$0.15/M tokens
Context window10.0M tokens260K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 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…

Llama 4 Scout256 words
Here is a simple recipe for a delicious dish using only 7 common pantry ingredients: Cinnamon Swirl Bread Bites Ingredients: 1 cup all-purpose flour 1/2 cup granulated sugar 1/4 teaspoon ground cinnamon 1/4 teaspoon salt 1/4 cup unsalted butter, melted 1 large egg 1 teaspoon vanilla extract Instructions: Preheat oven…
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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…
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Llama 4 Scout818 words
If the transistor had been invented in 1920 instead of 1947, the implications would have been far-reaching and multifaceted. Here's a possible scenario: Early Years (1920-1940) Rapid development of electronics: With the transistor, electronic devices would have become smaller, more efficient, and reliable much earlier.
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Mercury 2.5660 words
Inventing the transistor in 1920 would have fundamentally reshaped the 20th century, compressing the digital age by roughly two decades. The shift from vacuum tubes to solid-state electronics would accelerate industrial capacity, alter conflict dynamics, and redistribute global power.
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Llama 4 Scout688 words
Comprehensive 3-Month Longevity Plan for Biohackers Phase 1: Assessment and Foundation Building (Weeks 1-4) Wearable Tracking: Utilize a high-resolution wearable device (e.g., Garmin Forerunner 945, Apple Watch Series 7) to track: Heart Rate Variability (HRV) Sleep stages and duration Physical activity and exercise…
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Mercury 2.5610 words
3-Month Biohacking Longevity & Performance Plan Disclaimer: I am an AI, not a physician or certified health professional. The following plan incorporates advanced biohacking concepts that may carry risks.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

Llama 4 Scout623 words
Internal Investment Committee Memo: LedgerLift (LLLT) Recommendation: Long 12-month PT Range: $55-$65 Thesis: LedgerLift is a high-growth B2B spend management and AP automation SaaS platform poised to capitalize on the increasing demand for digital transformation in mid-market enterprises.
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Mercury 2.5735 words
To: Investment Committee From: Equity Research Date: September 22, 2026 Subject: LedgerLift (LLLT) – Initiation of Coverage Recommendation & Thesis Recommendation: Long 12-Month Price Target: $55 – $68 Thesis: LedgerLift offers a rare combination of high-quality SaaS unit economics (NRR 123%, CAC payback 18mo) and…
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Llama 4 Scout1,051 words
Step 1: Calculate the purchase price and transaction fees The purchase price is 12.0x EBITDA, where EBITDA is $120m. So, the purchase price is $120m * 12.0 = $1440m. Transaction fees are 2.0% of the enterprise value, which is $1440m * 2.0% = $28.8m.
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Mercury 2.5403 words
1. Simplified Year-by-Year LBO Model (FY2026–FY2030) Entry Assumptions: Enterprise Value (EV): $120m × 12.0x = $1,440m Transaction Fees: $1,440m × 2.0% = $28.8m Total Debt at Close: $120m × 5.5x = $660m Term Loan: $120m × 4.0x = $480m Mezzanine: $120m × 1.5x = $180m Equity Required: $1,440m (EV) + $28.8m (Fees) − $660m…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Llama 4 Scout843 words
Dish Name: "Terra Verde" - A Harmonious Convergence of Land and Sea Conceptual Narrative: Inspired by the Mediterranean landscape, "Terra Verde" is a symphony of flavors and textures that brings together the earthy richness of the land with the brininess of the sea.
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Mercury 2.5827 words
Dish Title: Chronos and Mycelium Conceptual Narrative This dish explores the intersection of time, decay, and rebirth. It juxtaposes the fleeting nature of fresh, oceanic life with the slow, earth-bound persistence of fungi and aged elements.
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Our Verdict
Llama 4 Scout
Llama 4 Scout
Mercury 2.5
Mercury 2.5

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

Mercury 2.5 costs 3.3x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Llama 4 Scout
Input
$0.25
Output
$0.50
Mercury 2.5
Input
$0.04
6.3× cheaper
Output
$0.15
3.3× cheaper

Mercury 2.5 is cheaper on both: 6.3× input, 3.3× output.

Where to run it

4 hosts, cheapest first

Llama 4 Scout3 hosts
HostInOutContextUptime
DDeepInfrafp8$0.10 in·$0.30 out·328k·99.9% upNNovitabf16$0.18 in·$0.59 out·131k·99.9% upGoogle Vertex AI$0.25 in·$0.70 out·1.3M—
Mercury 2.51 host
HostInOutContextUptime
Inception$0.04 in·$0.15 out·260k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Llama 4 Scout is developed by Meta AI while Mercury 2.5 is developed by Inception. Llama 4 Scout has a 10.0M token context window vs Mercury 2.5's 260K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. Llama 4 Scout and Mercury 2.5 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

Llama 4 Scout costs $0.25/M input tokens and Mercury 2.5 costs $0.04/M input tokens. Mercury 2.5 is $0.21/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 Llama 4 Scout 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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Mercury 2.5 logo
Mercury 2.520 outputs, specs and price
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