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  5. Grok 4.7vsQwen3 30B A3B Thinking 2507
Updated Sep 2026

Grok 4.7vsQwen3 30B A3B Thinking 2507

Qwen3 30B A3B Thinking 2507 is cheaper than Grok 4.7 at $0.071/M vs $1.6/M input tokens.

Grok 4.7 and Qwen3 30B A3B Thinking 2507 compared across 10 shared prompts
SpecGrok 4.7Qwen3 30B A3B Thinking 2507
Input price$1.6/M tokens$0.071/M tokens
Output price$4.8/M tokens$0.285/M tokens
Context window500K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Aug 2025
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 30B A3B Thinking 2507983 words
Below is a comprehensive analysis of failure modes, race conditions, and scaling bottlenecks in the described architecture, with specific, actionable solutions and their trade-offs. I’ve prioritized critical issues (e.g., data loss, security) first. Critical Failure Modes & Race Conditions 1.
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 30B A3B Thinking 2507772 words
Here are the 3 weakest claims in the MindMeld AI pitch deck, ranked by credibility risk (from most to least damaging), with evidence-based critiques and concrete fixes. These flaws would immediately erode investor confidence given current tech realities and market dynamics: 1.
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 30B A3B Thinking 2507330 words
🌅 Sunset Flatbread with Tomato-Herb Drizzle Simple, golden, and bursting with sunset-colored flavor—ready in 30 minutes with just 7 pantry staples! Ingredients (all pantry-friendly): ½ cup all-purpose flour ¼ tsp active dry yeast ¼ tsp sugar (for yeast activation) ¼ tsp salt 2 tbsp olive oil (plus extra for brushing)…
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…
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Qwen3 30B A3B Thinking 25071,115 words
For the Experienced Software Engineer *(Focus: Systems reality, scalability, and the why behind the "next word" simplification)* Your skepticism about "next word prediction" is spot-on—it’s a dangerous simplification that obscures the actual engineering at play.
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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 30B A3B Thinking 2507704 words
Here’s a simple, sustainable 1-month plan focused on diet, exercise, and sleep—the three pillars with the strongest evidence for longevity. Designed for absolute beginners, with zero willpower required. Each week builds gently on the last, prioritizing consistency over intensity. Core Philosophy Forget "perfect."
Read the full answer
Our Verdict
Grok 4.7
Grok 4.7
Qwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507Runner-up

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

Qwen3 30B A3B Thinking 2507 costs 17x less per token.

Too close to call
API pricing

Cost per 1M tokens

Grok 4.7
Input
$1.60
Output
$4.80
Qwen3 30B A3B Thinking 2507
Input
$0.07
23× cheaper
Output
$0.28
17× cheaper

Qwen3 30B A3B Thinking 2507 is cheaper on both: 23× input, 17× output.

Where to run it

2 hosts

Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·99.1% up
Qwen3 30B A3B Thinking 25071 host
HostInOutContextUptime
Alibaba Cloud$0.20 in·$2.40 out·82k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Grok 4.7 is developed by xAI while Qwen3 30B A3B Thinking 2507 is developed by Qwen. Grok 4.7 has a 500K token context window vs Qwen3 30B A3B Thinking 2507's 262K. 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 30B A3B Thinking 2507 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 30B A3B Thinking 2507 costs $0.071/M input tokens. Qwen3 30B A3B Thinking 2507 is $1.53/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 30B A3B Thinking 2507 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

Grok 4.7 logo
Grok 4.710 outputs, specs and price
Qwen3 30B A3B Thinking 2507 logo
Qwen3 30B A3B Thinking 250759 outputs, specs and price
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