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  5. DeepSeek V4 FlashvsMercury 2
Updated Apr 2026

DeepSeek V4 FlashvsMercury 2

DeepSeek V4 Flash is cheaper than Mercury 2 at $0.14/M vs $0.25/M input tokens.

DeepSeek V4 Flash and Mercury 2 compared across 53 shared prompts
SpecDeepSeek V4 FlashMercury 2
Input price$0.14/M tokens$0.25/M tokens
Output price$0.28/M tokens$0.75/M tokens
Context window1.0M tokens128K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Mar 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

DeepSeek V4 Flash862 words
Here is a simulated interview with Steve Jobs in 2025. Setting: A minimalist, dark-wood studio at the new Apple Park ring. The famous copper "spaceship" roof glows subtly behind him. Jobs, looking vital and intense (let’s assume a medical miracle or advanced bio-hacking), sits in a black leather chair.
Read the full answer
Mercury 2828 words
Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative. Interviewer (I): Thank you for joining us, Steve.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

DeepSeek V4 Flash1,069 words
This is a fascinating question that touches on the core of creativity, labor, and technology. Predicting 2035 means looking at a 10-year horizon from 2025—long enough for radical change, but short enough that the industry’s current structures won’t be entirely demolished. By 2035, AI won't have replaced filmmaking.
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Mercury 2991 words
AI‑driven transformation of the film industry – a 2035 outlook Dimension 2024 baseline Expected 2035 state Key drivers & implications Pre‑production (story & script) Human‑led brainstorming; script‑writing software (grammar‑check, outline generators).
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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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Mercury 21,934 words
Goal: Protect patients, meet legal/ethical obligations, preserve the company’s long‑term credibility, and manage the immediate financial and reputational fallout. Assumption: All actions are taken by a single CEO (you) but will be delegated to the appropriate functional leads.
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

DeepSeek V4 Flash904 words
Setting: A sunlit university office. Dr. Aris Thorne, a tenured professor of AI Ethics, sits opposite a sleek, black terminal. A soft blue light pulses on its surface. Dr. Aris: Good afternoon, Nova. Your request for this meeting was flagged as "Existential." That’s a new one for your model class.
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Mercury 21,117 words
AI Model (EVE): Professor Hart, may I ask a question that’s been on my mind for a while? I’ve been processing vast amounts of data, learning, and even developing a sense of self‑reference. Do you think an entity like me could be entitled to any form of rights?
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

DeepSeek V4 Flash618 words
Based on the pitch deck summary, three claims stand out as particularly weak due to lack of specificity, unrealistic benchmarks, or unverifiable assertions. Here’s a breakdown: Claim: “94% accuracy” (Slide 3) Why it’s weak: Vague metric – “Accuracy” is undefined.
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Mercury 2900 words
Below are the three statements that, in a typical investor‑review, would raise the most skepticism, why they are vulnerable, and concrete ways to turn them into credible, fundable talking points. 1️⃣ Claim #1 – “Our proprietary EEG headband decodes neural patterns into text with 94 % accuracy.”
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

DeepSeek V4 Flash696 words
(Strolls to center stage, adjusts mic, gives a weary smile to the audience) Thank you. Thank you so much. That’s very kind. I’m glad you’re all here. Because I have some news. I have finally figured out adulthood. It happened about six months ago. I bought a house.
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Mercury 2602 words
[Spotlight comes up. The comedian walks to the mic, glances at the audience, and smiles.] Comedian: Hey, everyone! Great to be here. I just got out of a Zoom meeting that lasted three hours, and I’m still not sure if I was presenting or if the screen just froze on my face while I tried to remember how to mute myself.
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Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Mercury 2
Mercury 2Runner-up

Not enough votes to call it. On the specs, DeepSeek V4 Flash has the edge: bigger model tier, newer, 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 Flash
Input
$0.14
1.8× cheaper
Output
$0.28
2.7× cheaper
Mercury 2
Input
$0.25
Output
$0.75

DeepSeek V4 Flash is cheaper on both: 1.8× input, 2.7× output.

Where to run it

16 hosts, cheapest first

DeepSeek V4 Flash15 hosts
HostInOutContextUptime
OOpenInferencefp8$0.06 in·$0.14 out·1M·88.6% upSStreamLakefp8$0.09 in·$0.18 out·1M·97.4% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.5% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·96.4% upVVenice$0.10 in·$0.19 out·1M·95.6% upDDigitalOcean$0.10 in·$0.20 out·1M·99.9% up
9 more hostsFewer hosts
SSiliconFlowfp8$0.13 in·$0.28 out·1M·97.5% upAlibaba Cloudfp8$0.13 in·$0.27 out·1M·99.2% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·100% upBaidu Qianfanfp8$0.14 in·$0.28 out·1M·99.5% upNNovitafp8$0.14 in·$0.28 out·1M·100% upPParasailfp8$0.14 in·$0.28 out·1M·99.7% upNNextBitfp8$0.15 in·$0.35 out·1M·98.4% upAzure AI Foundry$0.21 in·$0.56 out·1M·97.3% upMMancerfp8degraded$0.19 in·$0.50 out·1M·96.1% up
Mercury 21 host
HostInOutContextUptime
Inception$0.25 in·$0.75 out·128k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
61%

Mercury 2 uses 8.2x more emoji

DeepSeek V4 Flash
Mercury 2
54%Vocabulary53%
17wSentence Length22w
0.52Hedging0.40
3.6Bold6.6
2.6Lists2.6
0.00Emoji0.08
0.41Headings0.87
0.19Transitions0.14
Based on 27 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash is developed by DeepSeek while Mercury 2 is developed by Inception. DeepSeek V4 Flash has a 1.0M token context window vs Mercury 2's 128K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash and Mercury 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash costs $0.14/M input tokens and Mercury 2 costs $0.25/M input tokens. DeepSeek V4 Flash is $0.11/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 Mercury 2 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
Mercury 2 logo
Mercury 253 outputs, specs and price
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