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  5. Llama 3.1 70B (Instruct)vsNex-N2.5-Mini (free)
Updated Sep 2026

Llama 3.1 70B (Instruct)vsNex-N2.5-Mini (free)

Nex-N2.5-Mini (free) is cheaper than Llama 3.1 70B (Instruct) at $0/M vs $0.59/M input tokens.

Llama 3.1 70B (Instruct) and Nex-N2.5-Mini (free) compared across 15 shared prompts
SpecLlama 3.1 70B (Instruct)Nex-N2.5-Mini (free)
Input price$0.59/M tokensFree
Output price$0.79/M tokensFree
Context window128K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoYes (1 provider)
ReleasedJul 2024Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 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 3.1 70B (Instruct)311 words
Here is a simple recipe for a delicious dish using only 7 common pantry ingredients: Dish Name: "Sunset Crunch Bites" Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup chopped peanuts 1/2 teaspoon salt 1/4 teaspoon cinnamon 1/4 cup chocolate chips (semi-sweet) Instructions: Preheat your oven to…
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Nex-N2.5-Mini (free)111 words
Golden Peanut Lantern Noodles Time: Prep 5 min Cook 10 min Serves: 2 Ingredients — 7 pantry staples Spaghetti or any noodles Peanut butter Soy sauce Honey Garlic powder Rice vinegar Water Instructions Cook the noodles: Boil noodles in water until tender. Reserve about ½ cup cooking water, then drain.
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Debug This Architecture

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

Llama 3.1 70B (Instruct)612 words
Potential Failure Modes: Single Point of Failure (SPOF) in Load Balancer: If the load balancer fails, all incoming traffic will be lost. Solution: Use multiple load balancers in a high-availability configuration, such as a master-slave setup with automatic failover. Trade-off: Additional complexity and cost.
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Nex-N2.5-Mini (free)1,869 words
The biggest red flags are: client-clock LWW for document content, polling PostgreSQL for real-time fanout, CDN caching mutable authenticated APIs, per-server WebSocket state with no durable replay, and full HTML snapshots as the main save mechanism.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Llama 3.1 70B (Instruct)610 words
After reviewing the contract, I've identified several clauses that could be exploited against the contractor. Here are my findings, suggested modifications, and explanations: 1. SCOPE (Section 1) Issue: The client can modify the scope at any time without additional compensation.
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Nex-N2.5-Mini (free)1,439 words
Below is a contractor-protective review, not legal advice. Enforceability varies by jurisdiction, especially for non-competes, arbitration, IP assignments, and limitation-of-liability clauses. A local attorney should review before signing.
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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…

Llama 3.1 70B (Instruct)729 words
For the experienced software engineer: You're likely familiar with the concept of prediction in distributed systems, where a model predicts the likelihood of a certain event or outcome. Large language models like GPT or Claude take this concept to the next level by predicting the next word in a sequence of text.
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Nex-N2.5-Mini (free)889 words
Experienced software engineer, skeptical of “next word prediction” Think of training an LLM less like teaching it rules and more like running a huge offline simulation. You feed it a corpus of text, tokenize it into chunks, and give it a simple task: given the previous tokens, predict the next token.
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

Llama 3.1 70B (Instruct)420 words
Here's a simple, actionable 1-month plan for someone starting their journey towards better health and longevity, focusing on 3 key areas: diet, exercise, and sleep. Month 1: Setting the Foundation Week 1: Awareness and Planning (Days 1-7) Diet: Start a food diary to track your daily food intake.
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Nex-N2.5-Mini (free)671 words
1-Month Beginner Health & Longevity Plan Goal: Build 3 simple habits you can maintain: better food choices, regular movement, and better recovery through sleep/stress management. If you have medical conditions, injuries, or take medications, check with a healthcare professional before starting.
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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 3.1 70B (Instruct)744 words
Comprehensive 3-Month Longevity Plan for Biohackers Phase 1 (Weeks 1-4): Optimization and Detoxification Dietary Protocol: Weeks 1-2: Ketogenic Diet (KD) with a macronutrient breakdown of 70% fat, 20% protein, and 10% carbohydrates.
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Nex-N2.5-Mini (free)3,213 words
Below is a 12-week longevity/performance protocol for a generally healthy adult. It is not medical advice. Before starting—especially if you have diabetes, hypertension, arrhythmia, kidney/liver disease, a history of eating disorders, are pregnant, or take medications—get clinician clearance and use labs to personalize…
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Our Verdict
Llama 3.1 70B (Instruct)
Llama 3.1 70B (Instruct)
Nex-N2.5-Mini (free)
Nex-N2.5-Mini (free)

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

Too close to call
API pricing

Cost per 1M tokens

Llama 3.1 70B (Instruct)
Input
$0.59
Output
$0.79
Nex-N2.5-Mini (free)
Input
$0.000
Output
$0.000
Where to run it

3 hosts, cheapest first

Llama 3.1 70B (Instruct)2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.40 in·$0.40 out·131k·99.4% upAmazon Bedrock$0.72 in·$0.72 out·131k·100% up
Nex-N2.5-Mini (free)1 host
HostInOutContextUptime
NNex AGIbf16$0 in·$0 out·262k·99.4% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Llama 3.1 70B (Instruct) is developed by Meta AI while Nex-N2.5-Mini (free) is developed by Nex AGI. Llama 3.1 70B (Instruct) has a 128K token context window vs Nex-N2.5-Mini (free)'s 262K. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.

It depends on your use case. Llama 3.1 70B (Instruct) and Nex-N2.5-Mini (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Nex-N2.5-Mini (free) costs $0/M input tokens. Nex-N2.5-Mini (free) is $0.59/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 3.1 70B (Instruct) and Nex-N2.5-Mini (free) 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

Llama 3.1 70B (Instruct) logo
Llama 3.1 70B (Instruct)56 outputs, specs and price
Nex-N2.5-Mini (free) logo
Nex-N2.5-Mini (free)15 outputs, specs and price
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