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

DeepSeek V4 FlashvsLing 3.0 Flash Fin (free)

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

DeepSeek V4 Flash and Ling 3.0 Flash Fin (free) compared across 20 shared prompts
SpecDeepSeek V4 FlashLing 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)
ReleasedApr 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 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) –…

DeepSeek V4 Flash442 words
LBO Model: HarborTech Services (HTS) – Base Case & Sensitivity Year-by-Year Financial Projections (FY2026–FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 Less: Cash Interest (64.80) (63.08) (60.08) (55.69) (50.16) –…
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Ling 3.0 Flash Fin (free)556 words
Entry & Sources & Uses FY2025 EBITDA: $120m Purchase Price (EV): 12.0x × $120m = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m Total Uses: $1,440m + $28.8m = $1,468.8m Total Leverage: 5.5x × $120m = $660m Term Loan: 4.0x × $120m = $480m (9.0% cash interest, 1.0% mandatory amortization = $4.8m/yr) Mezzanine: 1.5x ×…
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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 Flash1,987 words
If the transistor had been invented in 1920—a full 27 years earlier—its impact would ripple through every layer of technology, economics, and geopolitics, fundamentally reshaping the 20th century. Below is a detailed tracing of first-, second-, and third-order effects through 1980, organized by domain.
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Ling 3.0 Flash Fin (free)2,066 words
The 1920 Transistor: A Counterfactual Analysis Through 1980 I. Premise and Plausibility For a transistor to emerge in 1920, we must assume that either the theoretical framework of semiconductor physics was accelerated (quantum mechanics was only being formulated in the mid-1920s), or that empirical discovery—building…
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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 Flash967 words
This is a fantastic goal. The key for a beginner is consistency over intensity. Trying to overhaul your entire life overnight is a recipe for burnout. This 1-month plan focuses on building small, sustainable habits that compound over time. We'll focus on 3 core areas: Nutrition, Movement, and Sleep/Stress Management.
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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.
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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 Flash1,972 words
CEO’s 48-Hour Action Plan Context: I’ve just learned that our flagship chronic pain drug has a rare but serious liver failure risk (1 in 8,000 patients over 5 years), previously unknown. I have 48 hours until the board meeting and 72 hours until the earnings call.
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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.
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 Flash1,942 words
Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical flaws that compromise reliability, consistency, and scalability. Below is a systematic analysis with proposed solutions and their 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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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 Flash1,120 words
To an experienced software engineer (skeptical of "next word prediction") Think of a large language model not as a brain, but as a massive, shared cache of probabilistic completions built from trillions of examples.
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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
Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Ling 3.0 Flash Fin (free)
Ling 3.0 Flash Fin (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
Input
$0.14
Output
$0.28
Ling 3.0 Flash Fin (free)
Input
$0.000
Output
$0.000
Where to run it

16 hosts, cheapest first

DeepSeek V4 Flash15 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.04 in·$0.08 out·1M·93.4% upOOpenInferencefp8$0.04 in·$0.50 out·1M·99.7% upSStreamLakefp8$0.05 in·$0.10 out·1M·98.5% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.7% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·99.3% upVVenice$0.10 in·$0.19 out·1M·98.8% up
9 more hostsFewer hosts
DDigitalOcean$0.10 in·$0.20 out·1M·99.9% upSSiliconFlowfp8$0.13 in·$0.28 out·1M·98.9% upAlibaba Cloudfp8$0.13 in·$0.27 out·1M·99.5% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·99.9% upNNovitafp8$0.14 in·$0.28 out·1M·100% upPParasailfp8$0.14 in·$0.28 out·1M·99.6% upNNextBitfp8$0.15 in·$0.30 out·1M·97.7% upMMancerfp8$0.19 in·$0.50 out·1M·98% upAzure AI Foundrydegraded$0.21 in·$0.56 out·1M·95.8% 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 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash is developed by DeepSeek while Ling 3.0 Flash Fin (free) is developed by inclusionAI. DeepSeek V4 Flash has a 1.0M token context window vs Ling 3.0 Flash Fin (free)'s 262K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash and Ling 3.0 Flash Fin (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash 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 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 logo
DeepSeek V4 Flash58 outputs, specs and price
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