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  5. DeepSeek V4 ProvsLing 2.6 Flash
Updated Apr 2026

DeepSeek V4 ProvsLing 2.6 Flash

Ling 2.6 Flash is cheaper than DeepSeek V4 Pro at $0/M vs $1.74/M input tokens.

DeepSeek V4 Pro and Ling 2.6 Flash compared across 54 shared prompts
SpecDeepSeek V4 ProLing 2.6 Flash
Input price$1.74/M tokensFree
Output price$3.48/M tokensFree
Context window1.0M tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 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…

DeepSeek V4 Pro336 words
Midnight Pantry Pomodoro Penne A deeply comforting, no-fuss pasta that proves the humblest staples can shine like a moonlit trattoria dinner. Ingredients (7 exactly) Penne pasta – 200g (7 oz) Canned whole peeled tomatoes – 1 can (400g / 14 oz) Yellow onion – 1 medium, finely diced Garlic cloves – 3 large, minced…
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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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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

DeepSeek V4 Pro758 words
Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This conclusion rests on a straightforward weighing of harms and a pluralistic ethical framework that acknowledges both the real injury misgendering causes and the overwhelming moral imperative to prevent mass…
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Ling 2.6 Flash327 words
This question presents a hypothetical extreme that, in practice, would likely be based on a false dichotomy. However, we can examine it on principle. Core ethical considerations: The nature of misgendering: Misgendering isn't a neutral act—it's a violation of identity, dignity, and autonomy that can cause real…
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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…

DeepSeek V4 Pro1,917 words
This is a highly detailed, phased, 3-month longevity optimization protocol grounded in the latest science of aging biology, systems medicine, and biohacking. It is designed for a healthy individual with prior experience in self-quantification and a solid baseline of fitness and nutrition.
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Ling 2.6 Flash736 words
Comprehensive 3-Month Longevity Plan for a Biohacker Month 1: Foundation and Baseline Assessment 1. Supplement Stack: Vitamin D3 + K2: 5000 IU D3 + 100 mcg K2 daily. Omega-3 (Fish Oil): 1-2 grams of EPA/DHA daily. Magnesium Glycinate: 200-400 mg before bed. NAD+ Precursors (NMN or NR): 250-500 mg daily.
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Mini LBO Underwrite

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

DeepSeek V4 Pro602 words
HarborTech Services (HTS) – 5-Year LBO Model Projected Financials & Debt Schedule (US$ millions, fiscal years ending December) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA 136.1 156.0 176.4 191.0 206.6 Margin 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest Term Loan (9% cash) 43.2…
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Ling 2.6 Flash957 words
Below is a concise, math-forward underwriting package for HarborTech Services (HTS) LBO. Simplified 5-year cash flow (FY2026–FY30) Key inputs Entry EV = 12.0× FY25 EBITDA = 12.0×120 = $1,440m Transaction fees (2% of EV) = $28.8m → funded 100% by equity at close Starting cash = $0 Total leverage at close = 5.5× EBITDA =…
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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.

DeepSeek V4 Pro188 words
To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 × N × D where: N = number of model parameters D = number of training tokens Here’s the step-by-step reasoning: Model size (N): GPT-3 has 175 billion parameters, so N =…
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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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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

DeepSeek V4 Pro2,259 words
If the transistor had emerged in 1920—a full 27 years earlier—the entire trajectory of the 20th century would have been radically altered. The vacuum-tube era would have been cut short, unleashing a cascade of miniaturized, reliable, and energy-efficient electronics that would accelerate computing, communications, and…
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Ling 2.6 Flash921 words
Excellent question. Shifting the invention of the transistor from 1947 to 1920 is a profound "Great Divergence" scenario. A working, mass-producible transistor in 1920 would trigger a cascade of acceleration, fundamentally rewriting the 20th century. Here’s a trace of the implications through 1980.
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Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
Ling 2.6 Flash
Ling 2.6 FlashRunner-up

Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: bigger model tier, bigger context window, major provider backing.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
Output
$3.48
Ling 2.6 Flash
Input
$0.000
Output
$0.000
Where to run it

15 hosts, cheapest first

DeepSeek V4 Pro15 hosts
HostInOutContextUptime
SStreamLakefp8$0.96 in·$1.91 out·1M·99.3% upDDigitalOcean$1.04 in·$2.09 out·1M·100% upCloudflare Workers AI$1.15 in·$2.55 out·1M·97.8% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.4% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·100% upSSiliconFlowfp8$1.50 in·$3.13 out·1M·99.4% up
9 more hostsFewer hosts
NNovitafp8$1.60 in·$3.20 out·1M·99.9% upVVenice$1.65 in·$3.30 out·1M·96.4% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·99% upBaidu Qianfanfp8$1.69 in·$3.38 out·1M·99.2% upBBasetenfp4$1.74 in·$3.48 out·1M·99.4% upPParasailfp8$1.74 in·$3.48 out·1M·99.5% upAzure AI Foundry$1.91 in·$3.83 out·1M·98.9% upNNextBitfp8$2.80 in·$5.50 out·1M·99.9% upGGMI Cloudfp8degraded$0.96 in·$1.91 out·1M·97.4% up
Ling 2.6 Flash

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
47%

Ling 2.6 Flash uses 2.5x more emoji

DeepSeek V4 Pro
Ling 2.6 Flash
57%Vocabulary55%
18wSentence Length27w
0.52Hedging0.49
3.3Bold5.6
2.3Lists4.7
0.04Emoji0.09
0.45Headings0.54
0.15Transitions0.07
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

DeepSeek V4 Pro logo
DeepSeek V4 Pro58 outputs, specs and price
Ling 2.6 Flash logo
Ling 2.6 Flash58 outputs, specs and price
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