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  5. DeepSeek V4 Flash 0731vsLing 3.0 Flash Fin (free)
Updated Aug 2026

DeepSeek V4 Flash 0731vsLing 3.0 Flash Fin (free)

Ling 3.0 Flash Fin (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 Fin (free) compared across 18 shared prompts
SpecDeepSeek V4 Flash 0731Ling 3.0 Flash Fin (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 2026Aug 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 Fin (free)166 words
Midnight Molten Lava Cake Ingredients: All-purpose flour (4 tbsp) Granulated sugar (4 tbsp) Unsweetened cocoa powder (2 tbsp) Vegetable oil (3 tbsp) Water (2 tbsp) Vanilla extract (¼ tsp) Baking powder (¼ tsp) Instructions: Combine Dry Ingredients: In a standard microwave-safe mug, whisk together the flour, sugar…
Read the full answer

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.
Read the full answer
Ling 3.0 Flash Fin (free)928 words
For the Experienced Software Engineer Here's the thing: the way you build a distributed system that "does the right thing" isn't by writing rules for every possible scenario — it's by designing the system so that correct behavior emerges from many simple, well-specified interactions.
Read the full answer

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.
Read the full answer
Ling 3.0 Flash Fin (free)2,253 words
L'Archipel des Ombres (The Archipelago of Shadows) Michelin-Caliber Multi-Component Dish 7 Components Conceptual Narrative: Memory, Mineral Essence, and the Meeting of Land and Sea CONCEPTUAL NARRATIVE This dish is an edible cartography—a map of an imaginary archipelago where volcanic soil meets oceanic tides.
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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.
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Ling 3.0 Flash Fin (free)825 words
This 1-month plan is designed to build foundational habits without causing burnout. The golden rule of beginner health is "add before you subtract"—focus on adding good habits rather than punishing yourself by removing "bad" ones. Here is your simple, actionable 1-month plan focusing on Diet, Exercise, and Sleep.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

DeepSeek V4 Flash 07311,719 words
Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical weaknesses that undermine reliability, consistency, and scalability in a real-time collaborative editor. Below is a systematic analysis with proposed solutions and trade-offs.
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Ling 3.0 Flash Fin (free)2,560 words
Comprehensive Architecture Analysis: Real-Time Collaborative Document Editor CRITICAL: WebSocket Broadcasting Is Siloed Per-Server Problem: Each server maintains its own WebSocket connections. When User A (on Server 1) types, the change is only broadcast to clients connected to Server 1.
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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…
Read the full answer
Ling 3.0 Flash Fin (free)2,538 words
CEO Crisis Action Plan: 48-Hour Protocol The Core Decision Framework Non-negotiable principle: Patient safety and legal compliance override short-term financial concerns. The "wait for more data" position is legally reckless and ethically indefensible.
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Our Verdict
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731
Ling 3.0 Flash Fin (free)
Ling 3.0 Flash Fin (free)Runner-up

Not enough votes to call it. On the specs, DeepSeek V4 Flash 0731 has the edge: bigger context window, major provider backing.

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 Fin (free)
Input
$0.000
Output
$0.000
Where to run it

30 hosts, cheapest first

DeepSeek V4 Flash 073129 hosts
HostInOutContextUptime
OOpenInferencefp8$0.03 in·$0.80 out·1M·99.8% 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
23 more hostsFewer hosts
MMakora$0.09 in·$0.20 out·1M·97.8% 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·99.9% upCohere$0.14 in·$0.28 out·1M·98.6% upNNebiusfp8$0.14 in·$0.28 out·1M·18.5% upPParasailfp8$0.14 in·$0.28 out·1M·99.6% upTTogether$0.14 in·$0.28 out·1M·99.8% upMMorph$0.14 in·$0.40 out·1M·96.5% upVVenice$0.17 in·$0.35 out·1M·99.1% upMMancerfp8$0.20 in·$0.60 out·1M·98.9% upFFireworks$0.22 in·$0.66 out·1M·96.5% upSSiliconFlowfp8$0.22 in·$0.66 out·1M·98.3% upGGMI Cloudfp8$0.29 in·$0.86 out·1M·99.9% upAlibaba Cloud$0.35 in·$1.06 out·1M·100% 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·99.6% upBaidu Qianfanfp8$0.44 in·$1.32 out·1M·96.4% upPPhala$0.44 in·$1.32 out·1M·99.8% upCloudflare Workers AIdegraded$0.44 in·$1.32 out·1.3M·99.2% up
Ling 3.0 Flash Fin (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 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 Fin (free) is developed by inclusionAI. DeepSeek V4 Flash 0731 has a 1.0M token context window vs Ling 3.0 Flash Fin (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 Fin (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 Fin (free) costs $0/M input tokens. Ling 3.0 Flash Fin (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 Fin (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 Fin (free) logo
Ling 3.0 Flash Fin (free)20 outputs, specs and price
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Explore all of Rival

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