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  5. GPT-6 AstravsLing 3.0 Flash
Updated Sep 2026

GPT-6 AstravsLing 3.0 Flash

Ling 3.0 Flash is cheaper than GPT-6 Astra at $0.021/M vs $10/M input tokens.

GPT-6 Astra and Ling 3.0 Flash compared across 16 shared prompts
SpecGPT-6 AstraLing 3.0 Flash
Input price$10/M tokens$0.021/M tokens
Output price$50/M tokens$0.063/M tokens
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 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…

GPT-6 Astra200 words
Cinnamon Hug Cookies Buttery cookies with crisp edges, soft centers, and a cozy cinnamon flavor. Makes: About 20 cookies Prep: 10 minutes Cook: 10–12 minutes per batch Ingredients — exactly 7 1½ cups all-purpose flour ¾ cup granulated sugar, divided ½ cup salted butter, softened 1 large egg 1 teaspoon vanilla extract ½…
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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…
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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…

GPT-6 Astra2,730 words
A 12-week longevity and performance plan The most effective “advanced” longevity strategy is not the largest supplement stack. It is a well-controlled program that improves cardiovascular fitness, strength, metabolic health, sleep, and sustainable behavior—while using measurements to avoid overtraining, underfueling…
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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

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-6 Astra696 words
The three weakest claims are the 94% decoding accuracy, the $180B TAM, and the promise to predict text “before you think it.” These are central to the investment case but lack the definitions or evidence needed to evaluate them. “Decode neural patterns into text with 94% accuracy. Works with any language, any device.”
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Ling 3.0 Flash945 words
Three Weakest Claims in the MindMeld AI Pitch Deck "94% Accuracy" — Slide 3 (Solution) Why It's Weak This is presented as a single, impressive number with zero context, which makes it essentially meaningless — and likely misleading. Several critical questions go unanswered: What is the vocabulary size?
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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…

GPT-6 Astra1,553 words
Between Tide and Orchard Seared scallop, celeriac silk, blackcurrant–kombu gel, coffee beurre blanc, and buckwheat lace A four-person tasting-menu course, designed around the surprising affinity between scallops, blackcurrants, and coffee.
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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…
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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…

GPT-6 Astra989 words
For an experienced software engineer Think of a large language model as a program with an enormous array of tunable parameters rather than explicitly written rules. Training text is broken into tokens—word fragments, punctuation, and other units—and the model learns to predict each token from the preceding ones.
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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.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-6 Astra1,864 words
I would act on the safety signal now—not wait six months, and not let the expected stock-price decline determine whether patients and clinicians learn about it. That does not mean declaring causation proven or automatically withdrawing the drug.
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Ling 3.0 Flash2,623 words
48-Hour Action Plan: Responsible Disclosure of Serious Adverse Effect FOUNDATIONAL PRINCIPLE Before the hour-by-hour breakdown, the strategic and ethical framework must be established clearly: proactive, transparent disclosure is the only viable path.
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Our Verdict
GPT-6 Astra
GPT-6 Astra
Ling 3.0 Flash
Ling 3.0 FlashRunner-up

Not enough votes to call it. On the specs, GPT-6 Astra has the edge: newer, bigger context window, major provider backing.

Ling 3.0 Flash costs 794x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Astra
Input
$10.00
Output
$50.00
Ling 3.0 Flash
Input
$0.02
476× cheaper
Output
$0.06
794× cheaper

Ling 3.0 Flash is cheaper on both: 476× input, 794× output.

Where to run it

4 hosts, cheapest first

GPT-6 Astra2 hosts
HostInOutContextUptime
Azure AI Foundry$10.00 in·$50.00 out·1.1M·99.9% upOpenAI$10.00 in·$50.00 out·1.1M·100% up
Ling 3.0 Flash2 hosts
HostInOutContextUptime
NNovita$0.02 in·$0.06 out·262k·100% upDDeepInfrabf16$0.06 in·$0.18 out·131k·99.6% up

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

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Astra is developed by OpenAI while Ling 3.0 Flash is developed by inclusionAI. GPT-6 Astra has a 1.1M 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-6 Astra 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-6 Astra costs $10/M input tokens and Ling 3.0 Flash costs $0.021/M input tokens. Ling 3.0 Flash is $9.98/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-6 Astra 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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