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  5. GPT-4.1 MinivsLing 3.0 Flash
Updated Jul 2026

GPT-4.1 MinivsLing 3.0 Flash

Ling 3.0 Flash is cheaper than GPT-4.1 Mini at $0.021/M vs $0.4/M input tokens.

GPT-4.1 Mini and Ling 3.0 Flash compared across 16 shared prompts
SpecGPT-4.1 MiniLing 3.0 Flash
Input price$0.4/M tokens$0.021/M tokens
Output price$1.6/M tokens$0.063/M tokens
Context window1.0M tokens262K tokens
ParametersNot disclosed124B
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2025Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 prompts both answered. Formatting stripped, words untouched.

Advanced Longevity Plan (Biohacker)

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

GPT-4.1 Mini1,026 words
Certainly! Below is a comprehensive, cutting-edge 3-month longevity and performance optimization plan tailored for a dedicated biohacker. It integrates advanced supplement stacks, personalized dietary protocols, state-of-the-art wearable tracking, tailored exercise regimens, and stress resilience techniques.
Read the full answer
Ling 3.0 Flash2,901 words
🧬 THE 90-DAY LONGEVITY OPTIMIZATION BLUEPRINT A Comprehensive Biohacking Protocol for Cellular Renewal, Cognitive Enhancement & Vitality Disclaimer: This protocol is for educational and informational purposes only. Many compounds listed (rapamycin, metformin, etc.) require physician supervision and prescription.
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…

GPT-4.1 Mini737 words
Certainly! Here are tailored explanations of how a large language model (LLM) like GPT or Claude learns and generates text, customized for each audience: Experienced Software Engineer (Distributed Systems & APIs, ML Skeptic) At its core, a large language model like GPT is indeed trained by predicting the next word in a…
Read the full answer
Ling 3.0 Flash1,129 words
For the Experienced Software Engineer Think of an LLM as a system that learns a massive, multidimensional routing table. When you built distributed systems, you learned patterns from traffic logs — which endpoints get hammered at 3am, which failure modes correlate, which request chains tend to cascade.
Read the full answer

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…

GPT-4.1 Mini162 words
Dish Name: Honey Garlic Chickpea Stir-fry Ingredients: 1 can chickpeas (drained and rinsed) 2 cloves garlic (minced) 2 tbsp honey 2 tbsp soy sauce 1 tbsp olive oil (or any cooking oil) 1 tsp chili flakes (optional for a little heat) 1 small onion (sliced) Instructions: Heat the olive oil in a skillet over medium heat.
Read the full answer
Ling 3.0 Flash248 words
🍝 Honey Fire Twirls A sticky-sweet, spicy, savory pasta that comes together in minutes. 🧺 Ingredients (7 pantry staples) Spaghetti (or penne) — 8 oz Olive oil — 2 tablespoons Garlic, minced — 4 cloves Honey — 3 tablespoons Soy sauce — 2 tablespoons Red pepper flakes — ½ teaspoon (adjust to taste) Parmesan cheese…
Read the full answer

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…

GPT-4.1 Mini458 words
Certainly! Here’s a simple, actionable 1-month plan focusing on Diet, Exercise, and Sleep—three foundational pillars for better health and longevity. Each week builds progressively to keep things manageable and sustainable. Week 1: Establish the Basics Diet: Start by drinking at least 8 glasses of water daily.
Read the full answer
Ling 3.0 Flash568 words
🌱 Your 1-Month Health & Longevity Starter Plan 🥦 1. Diet — Nourish, Don't Deprive Week 1: Awareness Keep a food journal — just track what you eat (no judgment). This alone builds mindful eating habits. Add, don't subtract — introduce one extra serving of vegetables per meal.
Read the full answer

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…

GPT-4.1 Mini1,033 words
Certainly! Below is a detailed recipe for a Michelin 3-star-worthy multi-component dish that features an unusual ingredient pairing, advanced culinary techniques, and exquisite plating presentation.
Read the full answer
Ling 3.0 Flash2,510 words
🍽️ TERRA NUDA — A Study in Forest Petrichor A Six-Component Dish Exploring the Ephemeral Moment After Rain Falls on a Living Forest 📖 CONCEPTUAL NARRATIVE Terra Nuda — Latin for "naked earth" — is inspired by the liminal moment immediately after a summer storm passes through a forest: the air thick with petrichor…
Read the full answer

Debug This Architecture

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

GPT-4.1 Mini997 words
This architecture broadly covers a real-time collaborative editor but has several potential failure modes, race conditions, and scaling bottlenecks due to design choices like polling, last-write-wins, and distributed WebSocket connections.
Read the full answer
Ling 3.0 Flash2,291 words
Architecture Analysis: Real-Time Collaborative Document Editor WebSocket & Cross-Server Communication Issue: Siloed WebSocket Servers (Critical) Each API server only broadcasts changes to clients connected to that specific server.
Read the full answer
Our Verdict
GPT-4.1 Mini
GPT-4.1 Mini
Ling 3.0 Flash
Ling 3.0 Flash

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

Ling 3.0 Flash costs 25x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.1 Mini
Input
$0.40
Output
$1.60
Ling 3.0 Flash
Input
$0.02
19× cheaper
Output
$0.06
25× cheaper

Ling 3.0 Flash is cheaper on both: 19× input, 25× output.

Where to run it

4 hosts, cheapest first

GPT-4.1 Mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.40 in·$1.60 out·1M·99.9% upOpenAI$0.40 in·$1.60 out·1M·99.9% up
Ling 3.0 Flash2 hosts
HostInOutContextUptime
NNovita$0.02 in·$0.06 out·262k·100% upDDeepInfrabf16$0.06 in·$0.18 out·131k·99.7% up

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

Research

What we learned reading every model

FAQ

Common questions

GPT-4.1 Mini is developed by OpenAI while Ling 3.0 Flash is developed by inclusionAI. GPT-4.1 Mini has a 1.0M token context window vs Ling 3.0 Flash's 262K. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4.1 Mini and Ling 3.0 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 16 challenges so you can judge which fits your needs best.

GPT-4.1 Mini costs $0.4/M input tokens and Ling 3.0 Flash costs $0.021/M input tokens. Ling 3.0 Flash is $0.38/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 GPT-4.1 Mini and Ling 3.0 Flash 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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