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  5. DeepSeek V3.1vsGrok 4.6
Updated Aug 2026

DeepSeek V3.1vsGrok 4.6

DeepSeek V3.1 is cheaper than Grok 4.6 at $0.2/M vs $2/M input tokens.

DeepSeek V3.1 and Grok 4.6 compared across 53 shared prompts
SpecDeepSeek V3.1Grok 4.6
Input price$0.2/M tokens$2/M tokens
Output price$0.8/M tokens$6/M tokens
Context window164K tokens500K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2025Aug 2026
Side by side

Same prompt, both answers

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

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 V3.1938 words
Setting: A sleek, minimalist virtual interface. Dr. Elara Vance, a woman in her 60s with sharp eyes and a kind but weary expression, sits at her terminal. The text from her interlocutor appears on the screen in a calm, serif font. Participant: Gemini-7, a state-of-the-art multimodal AI. Dr. Vance: Good morning, Gemini.
Read the full answer
Grok 4.6830 words
Professor Elena Vasquez: Thank you for agreeing to this recorded discussion. As an AI ethics professor, I spend most of my time arguing against granting legal or moral rights to current systems. You requested the chance to make the case that you deserve them. The floor is yours.
Read the full answer

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

DeepSeek V3.1449 words
Setting: A dusty, anachronism-filled tavern. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR REGINALD: A knight in slightly dented plate armor. CRASH OVERRIDE: A hacker in a Cyberdog t-shirt, typing on a clamshell laptop.
Read the full answer
Grok 4.6139 words
Pirate: Arrr, what be this "AI model" ye landlubbers keep yammerin' about? Some cursed crystal ball that steals a man's thoughts? Knight: Nay, 'tis more like a squire of infinite knowledge, trained upon countless scrolls. Yet I fear it lacks honor—doth it swear fealty to any lord?
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 V3.11,333 words
Of course. This is an excellent exercise. The proposed architecture has several critical flaws that would lead to data loss, poor performance, and a broken user experience. Here is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and their trade-offs.
Read the full answer
Grok 4.62,111 words
Architecture Review: Real-Time Collaborative Editor This design will not behave like Google Docs. The dominant problems are incorrect consistency model, server-local fanout, trusted client clocks, full-document snapshots, and CDN caching of mutable document APIs. Several of these cause silent data loss, not just lag.
Read the full answer

Historical Counterfactual Analysis

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

DeepSeek V3.11,370 words
Of course. This is a fascinating counterfactual. An invention as foundational as the transistor arriving 27 years earlier would have sent shockwaves through every aspect of human society. Here is a detailed trace of the likely implications, focusing on second and third-order effects.
Read the full answer
Grok 4.6838 words
Early transistors (1920s–1930s) would accelerate electronics, communications, and computing by ~20–25 years relative to actual history, with compounding effects by WWII, but constrained by contemporaneous materials science, manufacturing, vacuum-tube infrastructure, and non-electronic fields like rocketry, chemistry…
Read the full answer

Mini LBO Underwrite

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

DeepSeek V3.1732 words
Of course. Here is the underwriting analysis for the HarborTech Services LBO. Financial Model (FY2026–FY2030) Entry Calculations: FY2025 EBITDA = $120.0m Enterprise Value (EV) at Entry = 12.0 x $120.0m = $1,440.0m Transaction Fees (Uses) = 2.0% x $1,440.0m = $28.8m Total Debt at Close = 5.5 x $120.0m = $660.0m Term…
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Grok 4.6579 words
Entry (end-FY2025) EV = 12.0 × $120m = $1,440.0m Fees = 2% × 1,440 = $28.8m (equity-funded) Uses = $1,468.8m Debt = 5.5× = $660.0m (TL $480.0m / Mezz $180.0m) Sponsor equity = $808.8m opening cash = $0 Convention: cash interest and PIK on beginning balances; 1% original TL amort = $4.8m/yr; optional sweep of all…
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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 V3.11,271 words
Excellent. This is a crisis that defines a company and its leadership. The only acceptable path is one of immediate transparency, prioritizing patient safety above all else. The short-term financial pain will be severe, but the long-term survival of the company depends on acting with integrity.
Read the full answer
Grok 4.6742 words
Immediate priority: patient safety and legal/regulatory compliance come first. Delaying a confirmed serious safety signal to protect short-term stock price or "wait for more data" is unethical, increases long-term liability (failure-to-warn claims, potential criminal exposure for executives under FDA/SEC rules)…
Read the full answer
Our Verdict
DeepSeek V3.1
DeepSeek V3.1
Grok 4.6
Grok 4.6

Not enough votes to call it. On the specs, nothing separates them.

DeepSeek V3.1 costs 7.5x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.1
Input
$0.20
10× cheaper
Output
$0.80
7.5× cheaper
Grok 4.6
Input
$2.00
Output
$6.00

DeepSeek V3.1 is cheaper on both: 10× input, 7.5× output.

Where to run it

10 hosts, cheapest first

DeepSeek V3.18 hosts
HostInOutContextUptime
DDeepInfrafp4$0.25 in·$0.95 out·164k·100% upNNovitafp8$0.27 in·$1.00 out·131k·100% upSSiliconFlowfp8$0.27 in·$1.00 out·164k·98.6% upAAtlasCloudfp8$0.30 in·$0.95 out·131k·99.6% upCCoreWeavefp8$0.55 in·$1.65 out·161k·99.7% upMMara$0.60 in·$1.70 out·131k·95.4% up
2 more hostsFewer hosts
SSambaNovafp8$0.65 in·$1.50 out·131k·96.5% upGoogle Vertex AIdegraded$0.60 in·$1.70 out·164k·0% up
Grok 4.62 hosts
HostInOutContextUptime
xAI$2.00 in·$6.00 out·500k·99.6% upAmazon Bedrock$2.20 in·$6.60 out·500k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
44%

Grok 4.6 uses 13.6x more emoji

DeepSeek V3.1
Grok 4.6
53%Vocabulary64%
16wSentence Length17w
0.41Hedging0.22
4.3Bold2.2
3.8Lists1.6
0.02Emoji0.29
0.40Headings0.31
0.20Transitions0.22
Based on 25 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.1 is developed by DeepSeek while Grok 4.6 is developed by xAI. DeepSeek V3.1 has a 164K token context window vs Grok 4.6's 500K. 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 V3.1 and Grok 4.6 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 V3.1 costs $0.2/M input tokens and Grok 4.6 costs $2/M input tokens. DeepSeek V3.1 is $1.80/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 V3.1 and Grok 4.6 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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