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  5. Grok 4.7vsQwen3.6 27B
Updated Sep 2026

Grok 4.7vsQwen3.6 27B

Qwen3.6 27B is cheaper than Grok 4.7 at $0.325/M vs $1.6/M input tokens.

Grok 4.7 and Qwen3.6 27B compared across 10 shared prompts
SpecGrok 4.7Qwen3.6 27B
Input price$1.6/M tokens$0.325/M tokens
Output price$4.8/M tokens$3.25/M tokens
Context window500K tokens256K 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.

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 27B1,091 words
For the Experienced Software Engineer Think of an LLM not as a simple autocomplete, but as a highly optimized, probabilistic state machine built on a dynamic routing architecture. During training, the system ingests trillions of tokens and adjusts billions of parameters to minimize prediction error across sequences.
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…

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 27B415 words
This architecture contains several critical flaws that will cause data loss, severe latency, security vulnerabilities, and scaling failures under real-world load. Below is a systematic breakdown of failure modes, race conditions, and bottlenecks, with targeted solutions and trade-offs. 🔹 I.
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 27B346 words
🍪 Midnight Crinkle Cookies These rich, fudgy cookies are the ultimate pantry rescue. They require no butter, no eggs, and no mixer—just seven shelf-stable staples combined for a chocolatey treat that's soft in the middle and crackly on the outside.
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 27B739 words
Here are the three weakest claims in the pitch deck, analyzed for scientific, financial, and regulatory realism, along with concrete improvements. Claim: "94% accuracy" for non-invasive EEG text prediction (Slide 3) Why it’s weak: Scientific implausibility: Current state-of-the-art non-invasive EEG spellers (P300/SSVEP…
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 27B766 words
Here is a simple, actionable 1-month plan designed for beginners. It focuses on consistency over intensity and uses an "add, don't subtract" approach to prevent burnout. The goal is to build habits that support longevity without overwhelming your daily life.
Read the full answer
Our Verdict
Grok 4.7
Grok 4.7
Qwen3.6 27B
Qwen3.6 27BRunner-up

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

Slight edge
API pricing

Cost per 1M tokens

Grok 4.7
Input
$1.60
Output
$4.80
Qwen3.6 27B
Input
$0.33
4.9× cheaper
Output
$3.25
1.5× cheaper

Qwen3.6 27B is cheaper on both: 4.9× input, 1.5× output.

Where to run it

7 hosts, cheapest first

Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·98.9% up
Qwen3.6 27B6 hosts
HostInOutContextUptime
CChutesfp8$0.30 in·$2.00 out·262k·91.2% upSSiliconFlowfp8$0.30 in·$3.20 out·262k·82.1% upPPhala$0.32 in·$2.70 out·262k·94.8% upDDeepInfrafp8$0.32 in·$3.20 out·262k·99.7% upVVenicefp8$0.33 in·$3.25 out·256k·93.7% upAlibaba Cloud$0.45 in·$2.70 out·262k·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 27B is developed by Qwen. Grok 4.7 has a 500K token context window vs Qwen3.6 27B's 256K. 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 27B 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 27B costs $0.325/M input tokens. Qwen3.6 27B is $1.28/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 27B 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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