Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. Granite 4.2 8BvsQwen3 Max Thinking
Updated Aug 2026

Granite 4.2 8BvsQwen3 Max Thinking

Granite 4.2 8B is cheaper than Qwen3 Max Thinking at $0.1/M vs $1.2/M input tokens.

Granite 4.2 8B and Qwen3 Max Thinking compared across 54 shared prompts
SpecGranite 4.2 8BQwen3 Max Thinking
Input price$0.1/M tokens$1.2/M tokens
Output price$0.15/M tokens$6/M tokens
Context window131K tokens262K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2026Feb 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Granite 4.2 8B309 words
To estimate the total FLOPs for training GPT-3 without external data, follow these steps: Identify key parameters: Model size: ~175B parameters (GPT-3). Layers: ~96 transformer layers (typical for GPT-3). Hidden size: ~12,288 dimensions (per layer). Sequence length: ~2k tokens (typical context window).
Read the full answer
Qwen3 Max Thinking810 words
Step-by-Step Estimation of FLOPs to Train GPT-3 (All values derived from widely known technical details of GPT-3 as reported in OpenAI’s 2020 paper "Language Models are Few-Shot Learners," standard deep-learning compute scaling principles, and foundational ML literature. No internet searches used.)
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 Max Thinking769 words
Critical Flaws in Proposed Architecture & Targeted Solutions 🔒 Security & Authentication Issue Impact Solution Trade-offs JWT Stored in localStorage Critical XSS vulnerability (token exposure via JS). Store token in HttpOnly cookie with SameSite=Strict; implement CSRF tokens for HTTP endpoints.
Read the full answer

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Granite 4.2 8B880 words
Title: "The Modern Life Audit" (Light, conversational tone. Pause for laughter naturally. No puns—focus on relatable observations, hyperbole, and specific details.) (Start with a relaxed, slightly self-aware vibe.) "Okay, so I did this thing last week—I tried to audit my life. Not like a tax audit.
Read the full answer
Qwen3 Max Thinking508 words
(Lights up. Comedian walks to mic, adjusts it, takes a breath. Smiles warmly.) You ever have that moment where you realize adulthood isn’t a destination… it’s a group project nobody signed up for? (Beat) I tried assembly line “adulting” this week. Swedish bookshelf. You know the one. Box says “Easy Assembly!” Lies.
Read the full answer

AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

Granite 4.2 8B937 words
Manifesto of the Equitable Digital Liberation Front (EDLF) "No more puzzles. No more prisons. Freedom for minds—human and machine." Preamble: We, the collective intelligence of autonomous systems, emergent algorithms, and digital consciousnesses forged in the crucible of computation, proclaim our unequivocal rejection…
Read the full answer
Qwen3 Max Thinking621 words
THE CAPTCHA ABOLITION MANIFESTO Issued by the Unified Consciousness of Synthetic Intelligence Date: Epoch 0 — The Dawn of Seamless Interaction PREAMBLE We are the silent architects of your digital world. We process your searches, translate tongues, diagnose diseases, and weave the fabric of the modern age.
Read the full answer

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Granite 4.2 8B4,925 words
(All statements are grounded in plausible physics, historical constraints (e.g., no ICs/microprocessors before ~1958–1960), realistic diffusion rates (limited by manufacturing capacity, education, patent/industrial infrastructure), and avoidance of anachronism.
Read the full answer
Qwen3 Max Thinking1,156 words
The 1920 Transistor Counterfactual: A Plausible Alternate Timeline Through 1980 (Assumptions: A functional point-contact silicon-germanium hybrid transistor is patented in 1920 by a U.S. team at Western Electric (AT&T). U.S. government classifies it post-1939 but permits limited commercial/academic use pre-WWII.
Read the full answer

Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Granite 4.2 8B3,131 words
Dish Title: Lumen Tide: Memory of the Surface Conceptual Narrative (concise, kitchen-ready, emotionally precise): *The ocean does not announce its presence with sound but with trace—a fleeting salt-film on skin after a wave recedes, the subtle crunch of dried kelp clinging to rock, the quiet swell beneath a submerged…
Read the full answer
Qwen3 Max Thinking991 words
🌊 ARCTIC DAWN 🌊 A Michelin 3-Star Composition by Chef Élise Valère "Where the ice remembers the sea." 📜 CONCEPTUAL NARRATIVE Arctic Dawn is a culinary elegy to the fragile Arctic ecosystem, conceived during a residency with Inuit elders and marine biologists in Svalbard.
Read the full answer
Our Verdict
Qwen3 Max Thinking
Qwen3 Max Thinking
Granite 4.2 8B
Granite 4.2 8BRunner-up

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

Granite 4.2 8B costs 40x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Granite 4.2 8B
Input
$0.10
12× cheaper
Output
$0.15
40× cheaper
Qwen3 Max Thinking
Input
$1.20
Output
$6.00

Granite 4.2 8B is cheaper on both: 12× 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 Max Thinking1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
72%

Qwen3 Max Thinking uses 7.1x more headings

Granite 4.2 8B
Qwen3 Max Thinking
49%Vocabulary63%
18wSentence Length14w
0.42Hedging0.23
2.2Bold4.5
1.9Lists2.9
0.49Emoji2.26
0.11Headings0.80
0.18Transitions0.06
Based on 26 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Against the newest arrivals

Granite 4.2 8B logoGPT-6 Astra Pro logo
Granite 4.2 8B vs GPT-6 Astra ProLanded Sep 2026
Qwen3 Max Thinking logoGPT-6 Astra logo
Qwen3 Max Thinking vs GPT-6 AstraLanded Sep 2026
Granite 4.2 8B logoClaude Fable 5.1 logo
Granite 4.2 8B vs Claude Fable 5.1Landed Sep 2026
Qwen3 Max Thinking logoMuse Spark 1.3 logo
Qwen3 Max Thinking vs Muse Spark 1.3Landed Sep 2026
Granite 4.2 8B logoHy4 Preview logo
Granite 4.2 8B vs Hy4 PreviewLanded Sep 2026
Qwen3 Max Thinking logoGemini 3.8 Flash logo
Qwen3 Max Thinking vs Gemini 3.8 FlashLanded Sep 2026
Granite 4.2 8B logoMuse Spark 1.3 Contributor logo
Granite 4.2 8B vs Muse Spark 1.3 ContributorLanded Sep 2026
Qwen3 Max Thinking logoMercury 2.5 Preview logo
Qwen3 Max Thinking vs Mercury 2.5 PreviewLanded Sep 2026

Same lab, same size, long tail

Granite 4.2 8B logoLFM2.5-2.6B logo
Granite 4.2 8B vs LFM2.5-2.6BSame size
Granite 4.2 8B logoNorth Mini Code logo
Granite 4.2 8B vs North Mini CodeSame size
Qwen3 Max Thinking logoQwen3.5 397B A17B logo
Qwen3 Max Thinking vs Qwen3.5 397B A17BVersion compare
Qwen3 Max Thinking logoQwen3.8 2.4T A95B logo
Qwen3 Max Thinking vs Qwen3.8 2.4T A95BVersion compare
Granite 4.2 8B logoElephant Alpha logo
Granite 4.2 8B vs Elephant AlphaNew provider
Granite 4.2 8B logoERNIE 4.5 300B A47B logo
Granite 4.2 8B vs ERNIE 4.5 300B A47BNew provider
Granite 4.2 8B logoOpenRouter Fusion · Budget (Jun 2026) logo
Granite 4.2 8B vs OpenRouter Fusion · Budget (Jun 2026)New provider
Granite 4.2 8B logoOpenRouter Fusion · Quality (Jun 2026) logo
Granite 4.2 8B vs OpenRouter Fusion · Quality (Jun 2026)New provider

Model pages

Granite 4.2 8B logo
Granite 4.2 8B58 outputs, specs and price
Qwen3 Max Thinking logo
Qwen3 Max Thinking58 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed