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  5. Ling 2.6 1TvsMistral Large 3 2512
Updated Apr 2026

Ling 2.6 1TvsMistral Large 3 2512

Ling 2.6 1T is the newer model, released after Mistral Large 3 2512.

Ling 2.6 1T and Mistral Large 3 2512 compared across 54 shared prompts
SpecLing 2.6 1TMistral Large 3 2512
Input priceFree—
Output priceFree—
Context window262K tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Ling 2.6 1T797 words
Five-year operating and debt schedule (FY2026–FY2030) Entry (end-FY2025): EBITDA = $120.0m EV = 12.0x × $120.0m = $1,440.0m Fees = 2.0% × $1,440.0m = $28.8m Total uses = $1,440.0m + $28.8m = $1,468.8m Debt at close (5.5× FY2025 EBITDA = $660.0m): Term Loan (TL) = 4.0× = $480.0m Mezz = 1.5× = $180.0m Equity at close =…
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Mistral Large 3 2512412 words
1) Year-by-Year Projections (FY2026–FY2030) (All figures in $ millions) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,102 1,157 1,215 EBITDA 136 156 176 191 207 Cash Interest (Term Loan) 38.9 37.8 36.5 35.0 33.3 Cash Interest (Mezz) 14.4 14.4 14.4 14.4 14.4 Total Cash Interest 53.3 52.2 50.9 49.4 47.7…
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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 1T887 words
By 2035, AI will have moved from being a production tool to being an integrated creative partner, financier, and distribution engine in the film industry. The convergence of synthetic media, generative storytelling, and real-time rendering will reshape how stories are conceived, who gets to tell them, and what a…
Read the full answer
Mistral Large 3 25121,349 words
By 2035, AI will fundamentally reshape the film industry, disrupting traditional workflows, economics, and creative processes while also unlocking new possibilities. Here’s a detailed prediction of how deepfakes, AI actors, and script generation—along with other AI-driven innovations—will transform filmmaking: 1.
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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 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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Mistral Large 3 2512293 words
Title: The Three Techno-Scallywags Setting: A dimly lit tavern where a pirate, a knight, and a hacker have somehow ended up at the same table, arguing over a strange glowing orb labeled "AI Model v9.0." Pirate (Captain "Blackbeard" O’Malley): "Arrr, ye land-lubberin’ fools!
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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…

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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Mistral Large 3 2512250 words
Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—perfect for a quick, satisfying meal! "Golden Garlic Chickpea Skillet" A crispy, flavorful one-pan wonder with a touch of Mediterranean flair!
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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 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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Mistral Large 3 2512863 words
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamental components: forward pass, backward pass, and parameter updates. Here's a step-by-step breakdown: 1.
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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 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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Mistral Large 3 2512645 words
Title: "Adulting is Just a Scam We Fell For" (Lights up. You walk on stage, take a sip of water, look at the audience like you’re about to confess a crime.) YOU: Hey, how’s everybody doing? Good? Great.
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Our Verdict
Ling 2.6 1T
Ling 2.6 1T
Mistral Large 3 2512
Mistral Large 3 2512

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 1T
Input
$0.000
Output
$0.000
Mistral Large 3 2512
Input
—
Output
—
Where to run it

1 host

Ling 2.6 1T

No hosts listed on OpenRouter.

Mistral Large 3 25121 host
HostInOutContextUptime
Mistral$0.50 in·$1.50 out·262k·99.9% up

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

Writing DNA

Style Comparison

Similarity
33%

Mistral Large 3 2512 uses 64.9x more emoji

Ling 2.6 1T
Mistral Large 3 2512
55%Vocabulary52%
17wSentence Length20w
0.33Hedging0.51
1.9Bold11.0
4.1Lists5.3
0.00Emoji0.65
0.41Headings1.06
0.04Transitions0.07
Based on 27 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

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Same lab, same size, long tail

Ling 2.6 1T logoRing 2.6 1T logo
Ling 2.6 1T vs Ring 2.6 1TSame lab
Ling 2.6 1T logoLing 2.6 Flash logo
Ling 2.6 1T vs Ling 2.6 FlashSame lab
Mistral Large 3 2512 logoMistral Large 2 logo
Mistral Large 3 2512 vs Mistral Large 2Same lab
Mistral Large 3 2512 logoMistral Small 4 logo
Mistral Large 3 2512 vs Mistral Small 4Same lab
Ling 2.6 1T logoQwen3 Coder Plus logo
Ling 2.6 1T vs Qwen3 Coder PlusNew provider
Ling 2.6 1T logoQwen3 Max logo
Ling 2.6 1T vs Qwen3 MaxSame size
Ling 2.6 1T logoQwen3 Max Thinking logo
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Ling 2.6 1T logoQwen3 Next 80B A3B Instruct logo
Ling 2.6 1T vs Qwen3 Next 80B A3B InstructNew provider

Model pages

Ling 2.6 1T logo
Ling 2.6 1T58 outputs, specs and price
Mistral Large 3 2512 logo
Mistral Large 3 251259 outputs, specs and price
Rival
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Explore all of Rival

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