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  5. Grok 4.7vsQwen3.6 Flash
Updated Sep 2026

Grok 4.7vsQwen3.6 Flash

Qwen3.6 Flash is cheaper than Grok 4.7 at $0.25/M vs $1.6/M input tokens.

Grok 4.7 and Qwen3.6 Flash compared across 10 shared prompts
SpecGrok 4.7Qwen3.6 Flash
Input price$1.6/M tokens$0.25/M tokens
Output price$4.8/M tokens$1.5/M tokens
Context window500K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 prompts both answered. Formatting stripped, words untouched.

Debug This Architecture

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

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
Qwen3.6 Flash1,180 words
This architecture contains several critical failure modes that would prevent it from functioning as a functional collaborative editor. The combination of round-robin load balancing with persistent WebSocket connections, client-side clock synchronization, HTML-based storage, and aggressive CDN caching creates a system…
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…

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
Qwen3.6 Flash818 words
For the Experienced Software Engineer Think of LLM training not as magic autocomplete, but as a distributed optimization problem over a continuous, trillion-parameter state space. You’re familiar with tuning hyperparameters in a microservices architecture: you adjust configs, monitor metrics, and iterate.
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…

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
Qwen3.6 Flash742 words
Here is a simple, actionable 1-month plan designed for beginners. This plan focuses on consistency over intensity. The goal is not to overhaul your life overnight, but to build three sustainable foundations that drive longevity. The 3 Pillars of Longevity Nutrition: Focus on adding nourishment rather than restricting.
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.…

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
Qwen3.6 Flash1,014 words
Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, along with the reasoning behind why they raise red flags and how to strengthen them. The "94% Accuracy" Claim (Slide 3) Weak Claim: "Decodes neural patterns into text with 94% accuracy."
Read the full answer

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…

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
Qwen3.6 Flash272 words
🥞 Golden Pantry Flapjack Stack A fluffy, golden stack of pancakes made entirely from staples you likely already have. It's sweet, satisfying, and comes together in minutes with zero fancy equipment.
Read the full answer
Our Verdict
Grok 4.7
Grok 4.7
Qwen3.6 Flash
Qwen3.6 FlashRunner-up

Not enough votes to call it. On the specs, Grok 4.7 has the edge: bigger model tier, newer, major provider backing.

Qwen3.6 Flash costs 3.2x less per token.

Too close to call
API pricing

Cost per 1M tokens

Grok 4.7
Input
$1.60
Output
$4.80
Qwen3.6 Flash
Input
$0.25
6.4× cheaper
Output
$1.50
3.2× cheaper

Qwen3.6 Flash is cheaper on both: 6.4× input, 3.2× output.

Where to run it

2 hosts

Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·98.9% up
Qwen3.6 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.19 in·$1.13 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Grok 4.7 is developed by xAI while Qwen3.6 Flash is developed by Qwen. Grok 4.7 has a 500K token context window vs Qwen3.6 Flash's 1.0M. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. Grok 4.7 and Qwen3.6 Flash 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.

Grok 4.7 costs $1.6/M input tokens and Qwen3.6 Flash costs $0.25/M input tokens. Qwen3.6 Flash is $1.35/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 Grok 4.7 and Qwen3.6 Flash 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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