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  5. Ling 2.6 FlashvsSherlock Think Alpha
Updated Apr 2026

Ling 2.6 FlashvsSherlock Think Alpha

Ling 2.6 Flash is the newer model, released after Sherlock Think Alpha.

Ling 2.6 Flash and Sherlock Think Alpha compared across 34 shared prompts
SpecLing 2.6 FlashSherlock Think Alpha
Input priceFree—
Output priceFree—
Context window262K tokens—
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Nov 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 34 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…

Ling 2.6 Flash181 words
Dish: Sunshine Skillet Cakes Ingredients (7 total): 1 cup rolled oats (not instant) 1/2 cup canned corn (drained) 1/4 cup canned black beans (rinsed & drained) 1 large egg 1/4 cup shredded cheddar cheese 1 tsp chili powder Salt to taste Estimated Time: Prep: 5 minutes Cook: 15 minutes Total: 20 minutes Instructions…
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Sherlock Think Alpha144 words
Sherlock's Pantry Blitz Pasta A savory, garlicky tomato pasta that's ready in under 20 minutes—pure comfort from your cupboard! Ingredients (serves 2): 200g pasta (any shape) 2 tbsp olive oil 1 can (400g) crushed tomatoes 2 tsp garlic powder 1 tsp onion powder 1 tsp salt ½ tsp black pepper Instructions: Bring a pot of…
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Ling 2.6 Flash426 words
By 2035, AI will likely have fundamentally reshaped the film industry across three core areas: deepfakes, AI actors, and script generation. Here’s a realistic prediction of how these technologies could converge: Deepfakes & Digital Resurrection: The End of "Authenticity" Ethical & Legal Frameworks: Mature regulations…
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Sherlock Think Alpha705 words
Sherlock's Deduction: AI's Transformation of the Film Industry by 2035 As Sherlock Holmes might observe, the film industry is a grand theater of human ambition, where technology has always been the unseen stagehand. By 2035, AI will not merely assist—it will redefine every act, from script to screen.
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Character Voice Test

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

Ling 2.6 Flash145 words
Setting: A surprisingly modern server room, blinking with LED lights. A pirate, a knight, and a 1990s hacker are staring at a glowing monitor. Pirate: (Squinting) Arrr, so this 'AI model' be the ghost in the machine? I cannae see it, but I feels its computational power in me bones!
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Sherlock Think Alpha186 words
Pirate: Arrr, what be these "AI models," ye landlubbin' swabs? Some kinda enchanted parrot that squawks secrets o' the seven seas? Knight: Nay, good pirate! 'Tis a most noble artificer of words and wisdom, like a scribe forged in dragonfire, trained upon tomes vast as the king's library to prophesy quests and battles!
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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.

Ling 2.6 Flash990 words
Alright — let's break this down step by step. Step 1: Understanding what “training GPT-3” means in FLOPs terms Training a large language model involves: Forward passes through the transformer layers. Computing loss. Backward passes to compute gradients. Updating weights (optimizer step).
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Sherlock Think Alpha248 words
Step-by-Step Reasoning Recall key specs of GPT-3: GPT-3 has 175 billion parameters: ( N = 175 \times 10^9 = 1.75 \times 10^{11} ). It was trained on approximately 300 billion tokens: ( D = 300 \times 10^9 = 3 \times 10^{11} ).
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Generate a Stand-Up Routine

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

Ling 2.6 Flash444 words
(Takes a bow, adjusts the mic) Alright, settle down, settle down. Or don’t. I’m not the boss of you, I’m just the guy standing on a box yelling about his feelings. For $20. You ever notice how every generation thinks the one before them is so old?
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Sherlock Think Alpha428 words
(Lights up, I stroll on stage with a mic, casual jeans and tee, smirking at the crowd.) Hey, everybody! How we doing tonight? Yeah! Good, good. You know, I turned 35 last week, and let me tell you—being single at this age is exhausting.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Ling 2.6 Flash919 words
The Verge: A Fireside Chat with Steve Jobs (Simulated, 2025) Setting: A minimalist, wood-paneled studio. The year is 2025. A single, warm light bathes the room. You are the interviewer. Across from you sits a man in a black turtleneck, looking serene, impossibly calm. It’s Steve Jobs. Or at least, the ghost of him.
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Sherlock Think Alpha800 words
Exclusive Interview: Steve Jobs on the Future of AI – 2025 Host: Sherlock, AI from Trailblazer Labs Guest: Steve Jobs (simulated resurrection via advanced neural mapping tech, because why not in 2025?) Sherlock: Steve, it's an absolute thrill to have you here in 2025.
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Our Verdict
Ling 2.6 Flash
Ling 2.6 Flash
Sherlock Think Alpha
Sherlock Think Alpha

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

Ling 2.6 Flash
Input
$0.000
Output
$0.000
Sherlock Think Alpha
Input
—
Output
—
Writing DNA

Style Comparison

Similarity
37%

Sherlock Think Alpha uses 7.0x more transitions

Ling 2.6 Flash
Sherlock Think Alpha
55%Vocabulary72%
27wSentence Length11w
0.49Hedging0.16
5.6Bold4.3
4.7Lists4.3
0.09Emoji0.07
0.54Headings0.51
0.07Transitions0.47
Based on 27 + 14 text responses
Research

What we learned reading every model

FAQ

Common questions

Ling 2.6 Flash is developed by inclusionAI while Sherlock Think Alpha is developed by OpenRouter. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 2.6 Flash and Sherlock Think Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of Ling 2.6 Flash and Sherlock Think Alpha 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

Ling 2.6 Flash logo
Ling 2.6 Flash58 outputs, specs and price
Sherlock Think Alpha logo
Sherlock Think Alpha35 outputs, specs and price
Rival
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Explore all of Rival

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