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  5. DeepSeek V4 Flash 0731vsGrok 4.7
Updated Sep 2026

DeepSeek V4 Flash 0731vsGrok 4.7

DeepSeek V4 Flash 0731 is cheaper than Grok 4.7 at $0.14/M vs $1.6/M input tokens.

DeepSeek V4 Flash 0731 and Grok 4.7 compared across 10 shared prompts
SpecDeepSeek V4 Flash 0731Grok 4.7
Input price$0.14/M tokens$1.6/M tokens
Output price$0.28/M tokens$4.8/M tokens
Context window1.0M tokens500K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 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…
Read the full answer
Grok 4.7129 words
Pantry Gold Honey Biscuits A sweet, buttery, slightly salty biscuit that tastes like it took more effort than it did. Ingredients (7) 2 cups all-purpose flour 1 tbsp baking powder ½ tsp salt ¼ cup sugar ½ cup butter (cold) ¾ cup milk 2 tbsp honey Time: about 10 minutes prep, 12–15 minutes bake Instructions Heat the…
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.
Read the full answer
Grok 4.71,399 words
This design will lose edits, split users into inconsistent views, and fall over under concurrent writing. The core problems are clock-based conflict resolution, per-server WebSocket fan-out, polling as the sync path, and treating documents as full HTML snapshots.
Read the full answer

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 Flash 0731910 words
Based on the pitch deck summary, here are the 3 weakest claims, along with the specific reasoning and concrete improvements for each. The "94% accuracy... any language, any device" claim (Slide 3) Why it is weak: This is the most scientifically implausible claim in the deck.
Read the full answer
Grok 4.7599 words
Three weakest claims 1. “Predict what you want to type before you think it” (Slide 1) This is scientifically incoherent, not just ambitious. Non-invasive EEG decodes neural activity that is already underway (motor imagery, attempted speech, attention).
Read the full answer

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
Grok 4.7442 words
1-month beginner plan for better health and longevity Focus on three foundations: nutrition, movement, and sleep. Aim for consistency over perfection. If you have a medical condition, check with a clinician before big changes. Week-by-week rhythm Week 1: Build awareness and one easy habit in each area.
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
Grok 4.71,173 words
1. Experienced software engineer An LLM is a stateless function from a token sequence to a probability distribution over the next token. Training is a giant batch job: you stream text, run a forward pass, compare the predicted distribution to the actual next token with cross-entropy, and push gradients through billions…
Read the full answer
Our Verdict
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731
Grok 4.7
Grok 4.7

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

DeepSeek V4 Flash 0731 costs 17x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash 0731
Input
$0.14
11× cheaper
Output
$0.28
17× cheaper
Grok 4.7
Input
$1.60
Output
$4.80

DeepSeek V4 Flash 0731 is cheaper on both: 11× input, 17× output.

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
Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·98.9% 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 Grok 4.7 is developed by xAI. DeepSeek V4 Flash 0731 has a 1.0M token context window vs Grok 4.7's 500K. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash 0731 and Grok 4.7 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash 0731 costs $0.14/M input tokens and Grok 4.7 costs $1.6/M input tokens. DeepSeek V4 Flash 0731 is $1.46/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 Grok 4.7 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
Grok 4.7 logo
Grok 4.710 outputs, specs and price
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