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  5. Grok 4.20 Multi-Agent BetavsLing 2.6 1T
Updated Apr 2026

Grok 4.20 Multi-Agent BetavsLing 2.6 1T

Ling 2.6 1T is cheaper than Grok 4.20 Multi-Agent Beta at $0/M vs $2/M input tokens.

Grok 4.20 Multi-Agent Beta and Ling 2.6 1T compared across 53 shared prompts
SpecGrok 4.20 Multi-Agent BetaLing 2.6 1T
Input price$2/M tokensFree
Output price$6/M tokensFree
Context window2.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Grok 4.20 Multi-Agent Beta524 words
Stand-Up Routine: "Adulting Is a Scam" (Walk on stage, casual, a little tired smile) You ever notice how nobody tells you that being an adult is mostly just pretending you know what you're doing while slowly realizing nobody else does either? I hit 30 and had this moment where I thought, "Okay, time to get serious."
Read the full answer
Ling 2.6 1T662 words
I’m going to keep this to three minutes, which means I have to talk fast, and I have to be honest. I don’t do puns. Puns are for people who want to be clever without having feelings. I have feelings, and they are mostly annoyed. Let’s start with doors. Have you noticed how doors now have personality?
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Grok 4.20 Multi-Agent Beta167 words
3.15 \times 10^{23} FLOPs GPT-3 (the 175B-parameter version) has N ≈ 1.75 × 10^{11} parameters. It was trained on a filtered dataset of roughly D ≈ 3 × 10^{11} tokens (a commonly cited figure drawn from Common Crawl, WebText, books, and Wikipedia, with some up-sampling of higher-quality sources).
Read the full answer
Ling 2.6 1T471 words
Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no online search). Model size and parameter count GPT-3 is known to have about 175 billion parameters (175 × 10⁹).
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Grok 4.20 Multi-Agent Beta165 words
Pirate: Arrr, this AI model be a wondrous map o' the seas! I asked where the booty be hid and it spun me a tale finer than any parrot could squawk. But the scallywag lies sometimes! Knight: Verily, 'tis a most enchanted oracle, like Merlin's own crystal. Yet it hath no honor, no code of chivalry.
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Ling 2.6 1T181 words
Pirate: Arrr, so this “AI” be a genie in a glass box? Feed it enough rum-scented scrolls and it tells ye where X marks the spot? Knight: A sorcerous scribe, more like. It spins tapestries of words without hand or heart—no honor, no oath, yet it jousts with reason and never tires.
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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…

Grok 4.20 Multi-Agent Beta1,178 words
My Action Plan as CEO (Next 48 Hours) Core Decision and Overarching Reasoning: I will treat this as a confirmed safety signal requiring urgent action. Patient safety is non-negotiable—ethically (primum non nocere and responsibility to 4 million patients), legally (FDA regulations under 21 CFR 314.80 require reporting…
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Ling 2.6 1T1,473 words
Below is a 48-hour execution plan that treats patient safety as non-negotiable, protects the company from catastrophic legal/regulatory blowback, and preserves enterprise value by controlling the narrative rather than letting it leak.
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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…

Grok 4.20 Multi-Agent Beta188 words
Fiesta Pantry Bowl (Savory) 7 Common Pantry Ingredients: Rice Canned black beans Canned corn Canned diced tomatoes Olive oil Cumin Salt Estimated times: 5 minutes prep, 25 minutes cook (total ~30 minutes). Serves 2–4. Instructions: In a medium pot, combine 1 cup rice with 2 cups water and ½ tsp salt.
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Ling 2.6 1T151 words
Dish name: Pantry 7 Crunch Bowls Ingredients Pasta or rice (about 2 cups cooked) Canned black beans (1 can, rinsed) Canned diced tomatoes (1 can) Peanut butter (3–4 Tbsp) Soy sauce or tamari (2 Tbsp) Honey or maple syrup (1 Tbsp) Any spice/herb you keep (chili flakes, cumin, or garlic powder — about 1 tsp) Instructions…
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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…

Grok 4.20 Multi-Agent Beta1,362 words
The transistor invented in 1920 (27 years early) would create a massive acceleration in electronics, computing, and related fields. Assuming it emerges from Western labs (e.g., an earlier Bell Labs equivalent in the US or UK), with germanium/silicon semiconductor work scaling in the 1920s–1930s, solid-state devices…
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Ling 2.6 1T1,399 words
Assumptions to make the counterfactual coherent The “transistor” invented in 1920 is a crude, low-frequency point-contact device that can switch and amplify, but is expensive, unreliable, and not yet manufacturable at scale.
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Our Verdict
Grok 4.20 Multi-Agent Beta
Grok 4.20 Multi-Agent Beta
Ling 2.6 1T
Ling 2.6 1T

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

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Grok 4.20 Multi-Agent Beta
Input
$2.00
Output
$6.00
Ling 2.6 1T
Input
$0.000
Output
$0.000
Where to run it

1 host

Grok 4.20 Multi-Agent Beta1 host
HostInOutContextUptime
xAI$1.25 in·$2.50 out·2M·78.8% up
Ling 2.6 1T

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
83%

Ling 2.6 1T uses 1.7x more lists

Grok 4.20 Multi-Agent Beta
Ling 2.6 1T
59%Vocabulary55%
16wSentence Length17w
0.41Hedging0.33
2.7Bold1.9
2.4Lists4.1
0.00Emoji0.00
0.26Headings0.41
0.02Transitions0.04
Based on 23 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Same lab, same size, long tail

Grok 4.20 Multi-Agent Beta logoGrok 4.20 Beta logo
Grok 4.20 Multi-Agent Beta vs Grok 4.20 BetaVersion compare
Grok 4.20 Multi-Agent Beta logoGrok 4.6 logo
Grok 4.20 Multi-Agent Beta vs Grok 4.6Version compare
Ling 2.6 1T logoRing 2.6 1T logo
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Ling 2.6 1T logoLing 2.6 Flash logo
Ling 2.6 1T vs Ling 2.6 FlashSame lab
Ling 2.6 1T logoGPT-5.2 logo
Ling 2.6 1T vs GPT-5.2Same size
Ling 2.6 1T logoGPT-5.2 Chat logo
Ling 2.6 1T vs GPT-5.2 ChatNew provider
Ling 2.6 1T logoGPT-5.2 Pro logo
Ling 2.6 1T vs GPT-5.2 ProSame size
Ling 2.6 1T logoGPT-5.3 Chat logo
Ling 2.6 1T vs GPT-5.3 ChatNew provider

Model pages

Grok 4.20 Multi-Agent Beta logo
Grok 4.20 Multi-Agent Beta53 outputs, specs and price
Ling 2.6 1T logo
Ling 2.6 1T58 outputs, specs and price
Rival
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Explore all of Rival

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