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  5. Granite 4.2 8BvsQwen3.8 Max (0902)
Updated Sep 2026

Granite 4.2 8BvsQwen3.8 Max (0902)

Granite 4.2 8B is cheaper than Qwen3.8 Max (0902) at $0.1/M vs $2/M input tokens.

Granite 4.2 8B and Qwen3.8 Max (0902) compared across 10 shared prompts
SpecGranite 4.2 8BQwen3.8 Max (0902)
Input price$0.1/M tokens$2/M tokens
Output price$0.15/M tokens$6/M tokens
Context window131K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2026Sep 2026
Side by side

Same prompt, both answers

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

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…

Granite 4.2 8B532 words
(Simple, actionable, no jargon, no perfectionism—focus on one tiny habit per week per area. Total time commitment ≤30 mins/week total. Written as clear "Do this" steps. No supplements, no special equipment, no counting calories/macros. Prioritizes consistency over intensity.)
Read the full answer
Qwen3.8 Max (0902)536 words
The 30-Day Foundation Plan Core principle: Don't overhaul your life. Layer small wins that compound. 🏃 Area 1: Movement The goal isn't fitness. It's making your body a place you want to live in. Week 1 — Build the trigger Walk 15 minutes daily (same time each day to build the habit) No gym. No gear.
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…

Granite 4.2 8B2,367 words
For the experienced software engineer (distributed systems/APIs background; skeptical of "predicting next words" producing intelligence) You’re right to be skeptical—calling it "predicting the next word" sounds trivial, and if it were just a naive lookup or fixed rule, it wouldn’t work reliably across diverse queries.
Read the full answer
Qwen3.8 Max (0902)1,046 words
For the Experienced Software Engineer Think of an LLM as a lossy compression function trained on a massive corpus. During training, you're essentially building a statistical model of "given this sequence of tokens, what's the probability distribution over the next token?"
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…

Granite 4.2 8B587 words
Dish Name: Sunset Black Bean Rice Bowl (Simple, colorful, savory, no baking or special tools—just a pot and a skillet.) Why it works: Uses only pantry staples most people already have (rice, canned beans/tomatoes, basic spices, oil, salt).
Read the full answer
Qwen3.8 Max (0902)230 words
🍯 Midnight Crispy Chickpea Bowl A sweet-savory, crispy rice bowl that comes together faster than delivery. Ingredients (7) # Ingredient Amount 1 Canned chickpeas (drained & patted dry) 1 can (15 oz) 2 Soy sauce 3 tbsp 3 Honey 2 tbsp 4 Garlic (minced) 3 cloves 5 Vegetable oil 2 tbsp 6 Instant or leftover cooked rice 2…
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…

Granite 4.2 8B3,811 words
Comprehensive Failure Mode, Race Condition, and Scaling Bottleneck Analysis (Based strictly on the provided architecture description; no assumptions beyond it. All issues are identified directly from the stated design. Solutions are specific, actionable, and include realistic trade-offs.
Read the full answer
Qwen3.8 Max (0902)477 words
Architecture Failure Analysis: Real-Time Collaborative Editor Critical Issues (Data Loss / Correctness) Last-Write-Wins with Client Clocks — Fundamental Data Loss Problem: Client clocks are unreliable. They drift, can be manually set, and differ across timezones.
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.…

Granite 4.2 8B1,960 words
Below is a concise, evidence-based, and actionable assessment. I focus only on factual/quantitative claims or overpromises made directly in the slide text (e.g., specific numbers, definitive statements like "works with any language," or implied precognition).
Read the full answer
Qwen3.8 Max (0902)582 words
The 3 Weakest Claims in the MindMeld AI Pitch The TAM Claim: "$180B" (Slide 4) Why it's weak: This is a textbook case of TAM inflation that immediately undermines credibility with any experienced investor.
Read the full answer
Our Verdict
Qwen3.8 Max (0902)
Qwen3.8 Max (0902)
Granite 4.2 8B
Granite 4.2 8BRunner-up

Not enough votes to call it. On the specs, Qwen3.8 Max (0902) has the edge: bigger model tier, bigger context window.

Granite 4.2 8B costs 40x less per token.

Too close to call
API pricing

Cost per 1M tokens

Granite 4.2 8B
Input
$0.10
20× cheaper
Output
$0.15
40× cheaper
Qwen3.8 Max (0902)
Input
$2.00
Output
$6.00

Granite 4.2 8B is cheaper on both: 20× input, 40× output.

Where to run it

3 hosts, cheapest first

Granite 4.2 8B2 hosts
HostInOutContextUptime
DDeepInfrabf16$0.06 in·$0.25 out·131k·100% upCCoreWeavebf16$0.10 in·$0.15 out·131k·100% up
Qwen3.8 Max (0902)1 host
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 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

Granite 4.2 8B is developed by IBM Granite while Qwen3.8 Max (0902) is developed by Qwen. Granite 4.2 8B has a 131K token context window vs Qwen3.8 Max (0902)'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. Granite 4.2 8B and Qwen3.8 Max (0902) 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.

Granite 4.2 8B costs $0.1/M input tokens and Qwen3.8 Max (0902) costs $2/M input tokens. Granite 4.2 8B is $1.90/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 Granite 4.2 8B and Qwen3.8 Max (0902) 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

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Granite 4.2 8B58 outputs, specs and price
Qwen3.8 Max (0902) logo
Qwen3.8 Max (0902)10 outputs, specs and price
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