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  5. DeepSeek V4 Flash 0731vsLing 3.0 Flash Sante (free)
Updated Sep 2026

DeepSeek V4 Flash 0731vsLing 3.0 Flash Sante (free)

Ling 3.0 Flash Sante (free) is cheaper than DeepSeek V4 Flash 0731 at $0/M vs $0.14/M input tokens.

DeepSeek V4 Flash 0731 and Ling 3.0 Flash Sante (free) compared across 18 shared prompts
SpecDeepSeek V4 Flash 0731Ling 3.0 Flash Sante (free)
Input price$0.14/M tokensFree
Output price$0.28/M tokensFree
Context window1.0M tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoYes (1 provider)
ReleasedJul 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 18 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 Flash 0731287 words
Here is a simple, comforting, and deeply flavorful recipe that comes together in just 20 minutes using only 7 common pantry staples. Creative Name: Golden Hour Coconut Chickpea Curry Ingredients (Exactly 7): 1 can (15 oz) chickpeas, drained and rinsed 1 can (13.5 oz) full-fat coconut milk 1 medium yellow onion 3 cloves…
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Ling 3.0 Flash Sante (free)137 words
The Midnight Cookie Vault A gooey, chocolatey skillet cookie that feels like a secret treasure. Ingredients (7): Butter (½ cup, softened) Brown sugar (¾ cup) All-purpose flour (1¼ cups) Eggs (2 large) Semi-sweet chocolate chips (½ cup) Baking powder (1 tsp) Vanilla extract (1 tsp) Instructions: Preheat oven to 350°F…
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

DeepSeek V4 Flash 0731967 words
Here is a simple, actionable 1-month plan designed for absolute beginners. The goal is consistency over intensity. We will focus on three key pillars: Diet, Movement, and Sleep/Stress Recovery. You don’t need to be perfect—just aim for 80% adherence. If you miss a day, don’t double up tomorrow; just get back on track.
Read the full answer
Ling 3.0 Flash Sante (free)240 words
Here’s a low-pressure, 4-week blueprint. Pick one area to start (Week 1), then stack the next. Consistency beats intensity. Sleep (The Longevity Foundation) Week 1: Set a fixed wake time (±30 min, even weekends). Week 2: No caffeine after 2 pm; stop screens 30 min before bed.
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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…

DeepSeek V4 Flash 07311,492 words
Conceptual Narrative “An Unripe Promise — Hand-Dived Scallop / Green Strawberry / Black Sesame / Celery Root” The dish is an attempt to save a single fleeting moment: the morning a strawberry is still green, sharp, and full of anticipation—before sugar, before ripeness, before memory.
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Ling 3.0 Flash Sante (free)481 words
"Ephemeral Tides" — A Dish in Seven Movements Conceptual Narrative Inspired by the Japanese concept of mono no aware (the bittersweet beauty of transience), this dish explores the liminal boundary where ocean meets forest, fermentation meets freshness, and memory dissolves into the present.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

DeepSeek V4 Flash 0731498 words
INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: Equity Research Date: October 26, 2023 Subject: LedgerLift (LLLT) – Long Recommendation Recommendation Action: LONG 12-Month Price Target Range: $58 – $74 (Base case intrinsic value: $63/sh) Thesis: LedgerLift is a high-quality B2B SaaS compounder with a…
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Ling 3.0 Flash Sante (free)437 words
LedgerLift (LLLT) – IC Memo Confidential – For Internal Use Only 1) Recommendation & Thesis Pass (bias cautious). 12-month PT: $32–$48. Thesis: LLLT has defensible mid-market AP lock-in and solid NRR, but at $46 the stock trades above DCF-implied value ($28 base) and only just clears comps on revenue multiples; we need…
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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…

DeepSeek V4 Flash 07312,175 words
Decision: Do not wait. I disclose now. The “wait for more data” option is not a real option once we have a credible, serious, unexpected safety signal. Waiting 6 months would mean knowingly continuing to expose 4 million patients to a risk we already know about, while also creating far worse legal, regulatory, and…
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Ling 3.0 Flash Sante (free)445 words
48-Hour Action Plan: Patient Safety First Critical Reality Check First Your legal team's "6 months" likely refers to a full label revision, not initial safety signal reporting. FDA requires serious unexpected adverse events reported within 15 days (7 days if fatal).
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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…

DeepSeek V4 Flash 0731748 words
An experienced software engineer Think of the model as a service with one API: predict_next_token(context) -> distribution over vocabulary. During training, you run a gigantic distributed job—shard the corpus, shard the parameters, synchronize gradients—to minimize cross-entropy loss on trillions of tokens.
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Ling 3.0 Flash Sante (free)650 words
1. For the Software Engineer Think of it less as "AI" and more as a distributed autocomplete system operating in a 100-billion-dimensional key-value store. During training, the model isn't "understanding" text—it's adjusting millions of matrices to minimize the surprise of predicting the next token, similar to how…
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Our Verdict
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731
Ling 3.0 Flash Sante (free)
Ling 3.0 Flash Sante (free)

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

DeepSeek V4 Flash 0731
Input
$0.14
Output
$0.28
Ling 3.0 Flash Sante (free)
Input
$0.000
Output
$0.000
Where to run it

29 hosts, cheapest first

DeepSeek V4 Flash 073128 hosts
HostInOutContextUptime
OOpenInferencefp8$0.03 in·$0.80 out·1M·99.7% upSSail Researchfp4$0.04 in·$0.55 out·1M·99.7% upRRelacefp4$0.04 in·$0.64 out·1M·99.7% upSStreamLakefp8$0.05 in·$0.16 out·1M·97.1% upDDeepInfrafp8$0.06 in·$0.18 out·1M·99.7% upRRekafp4$0.09 in·$0.53 out·262k·99% up
22 more hostsFewer hosts
MMakora$0.09 in·$0.20 out·1M·97.7% upWWafer$0.10 in·$0.25 out·1M·99.9% upDDigitalOcean$0.12 in·$0.24 out·1M·99.2% upIInceptronfp4$0.12 in·$0.50 out·1M·99.6% upBBasetenfp8$0.13 in·$0.26 out·1M·100% upCCoreWeavefp8$0.13 in·$0.28 out·262k·100% upPParasailfp8$0.14 in·$0.28 out·1M·99.7% upTTogether$0.14 in·$0.28 out·1M·99.8% upMMorph$0.14 in·$0.40 out·1M·95.8% upVVenice$0.17 in·$0.35 out·1M·99.1% upAlibaba Cloud$0.18 in·$0.53 out·1M·100% upMMancerfp8$0.20 in·$0.60 out·1M·99% upFFireworks$0.22 in·$0.66 out·1M·96.4% upSSiliconFlowfp8$0.22 in·$0.66 out·1M·98.3% upGGMI Cloudfp8$0.29 in·$0.86 out·1M·99.9% upNNextBitfp8$0.35 in·$1.06 out·1M·98.2% upNNovitafp8$0.41 in·$1.23 out·1M·100% upAAtlasCloudfp4$0.44 in·$1.32 out·1M·99.7% upBaidu Qianfanfp8$0.44 in·$1.32 out·1M·96.6% upCloudflare Workers AI$0.44 in·$1.32 out·1.3M·100% upPPhala$0.44 in·$1.32 out·1M·99.9% upNNebiusfp8degraded$0.14 in·$0.28 out·1M·21.6% up
Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up

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

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash 0731 is developed by DeepSeek while Ling 3.0 Flash Sante (free) is developed by inclusionAI. DeepSeek V4 Flash 0731 has a 1.0M token context window vs Ling 3.0 Flash Sante (free)'s 262K. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash 0731 and Ling 3.0 Flash Sante (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash 0731 costs $0.14/M input tokens and Ling 3.0 Flash Sante (free) costs $0/M input tokens. Ling 3.0 Flash Sante (free) is $0.14/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 DeepSeek V4 Flash 0731 and Ling 3.0 Flash Sante (free) 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

DeepSeek V4 Flash 0731 logo
DeepSeek V4 Flash 073145 outputs, specs and price
Ling 3.0 Flash Sante (free) logo
Ling 3.0 Flash Sante (free)19 outputs, specs and price
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Explore all of Rival

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