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
  • Default Index
  • 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. Claude Opus 5.5vsQwen3.6 27B
Updated Sep 2026

Claude Opus 5.5vsQwen3.6 27B

Qwen3.6 27B is cheaper than Claude Opus 5.5 at $0.325/M vs $4/M input tokens.

Claude Opus 5.5 and Qwen3.6 27B compared across 18 shared prompts
SpecClaude Opus 5.5Qwen3.6 27B
Input price$4/M tokens$0.325/M tokens
Output price$20/M tokens$3.25/M tokens
Context window1.0M tokens256K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 18 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Claude Opus 5.5900 words
HarborTech Services: 5-Year LBO Underwriting Conventions: $m. Interest is charged on beginning-of-year balances, which avoids circularity. Term Loan (TL) amortization is 1% of the original $480m, or $4.8m per year. Mezz PIK accrues to principal. All FCF after mandatory debt service sweeps to the TL.
Read the full answer
Qwen3.6 27B503 words
Entry & Capital Structure (End FY2025) Item Calculation Value ($M) Enterprise Value 12.0x × $120M EBITDA 1,440.0 Term Loan 4.0x × $120M 480.0 Mezzanine 1.5x × $120M 180.0 Transaction Fees 2.0% × EV (equity-funded) 28.8 Equity Invested EV – Debt + Fees 808.8 LBO Model Summary (FY2026–FY2030) All values in $M.
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…

Claude Opus 5.52,280 words
Architecture Review: Real-Time Collaborative Editor The most serious problems cluster in three areas: the sync model (client-clock LWW), cross-server propagation (per-server WebSockets with DB polling), and the CDN/auth layer, which can leak data between users. Issues are grouped by area below.
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…

Claude Opus 5.5300 words
Midnight Silk Noodles Creamy, tangy peanut noodles with a gentle kick, ready faster than takeout. Serves: 2 Prep time: 5 minutes Cook time: 10 minutes Total time: 15 minutes The 7 Ingredients 8 oz (225 g) spaghetti (or any long noodle) ¼ cup creamy peanut butter 3 tablespoons soy sauce 1 tablespoon honey (or sugar) 1…
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

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…

Claude Opus 5.51,442 words
How Large Language Models Work: Three Explanations For the Experienced Software Engineer Think of an LLM as a single, very large pure function: f(tokens[0..n]) → probability distribution over tokens[n+1]. Text is chunked into tokens (roughly word fragments, from a vocabulary of about 100k).
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

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Claude Opus 5.51,853 words
The Next 48 Hours: CEO Action Plan The Core Decision We disclose. The question is how to do it well, not whether. Before the schedule, here are the three facts that drive every decision below. 1. The harm is concrete.
Read the full answer
Qwen3.6 27B1,346 words
As CEO, my primary fiduciary and ethical duty is to patients, regulators, and long-term shareholder value. The "6-month reporting timeline" cited by legal is almost certainly a misunderstanding of regulatory processes (likely conflating initial adverse event reporting with full label amendment review).
Read the full answer

Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Claude Opus 5.53,099 words
The 90-Day Longevity & Performance Protocol A structured, measurable plan for the experienced biohacker How to Use This Plan Philosophy: Measure → Intervene → Re-measure. Every intervention has a hypothesis, a metric, and a decision rule.
Read the full answer
Qwen3.6 27B900 words
⚠️ MEDICAL DISCLAIMER This protocol is for educational and informational purposes only. It is not medical advice. Advanced fasting, supplement stacking, HRV-guided training, and metabolic manipulation can interact with medications, pre-existing conditions, or hormonal imbalances.
Read the full answer
Our Verdict
Claude Opus 5.5
Claude Opus 5.5
Qwen3.6 27B
Qwen3.6 27BRunner-up

Not enough votes to call it. On the specs, Claude Opus 5.5 has the edge: bigger model tier, newer, bigger context window, major provider backing.

Qwen3.6 27B costs 6.2x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Claude Opus 5.5
Input
$4.00
Output
$20.00
Qwen3.6 27B
Input
$0.33
12× cheaper
Output
$3.25
6.2× cheaper

Qwen3.6 27B is cheaper on both: 12× input, 6.2× output.

Where to run it

10 hosts, cheapest first

Claude Opus 5.54 hosts
HostInOutContextUptime
Amazon Bedrock$4.00 in·$20.00 out·1M·99.8% upAzure AI Foundry$4.00 in·$20.00 out·1M·100% upAnthropic$4.00 in·$20.00 out·1M·100% upGoogle Vertex AI$4.00 in·$20.00 out·1M·100% up
Qwen3.6 27B6 hosts
HostInOutContextUptime
CChutesfp8$0.30 in·$2.00 out·262k·95.6% upSSiliconFlowfp8$0.30 in·$3.20 out·262k·96.3% upPPhala$0.32 in·$2.70 out·262k·95.6% upDDeepInfrafp8$0.32 in·$3.20 out·262k·99.4% upVVenicefp8$0.33 in·$3.25 out·256k·97.7% upAlibaba Cloud$0.45 in·$2.70 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Claude Opus 5.5 is developed by Anthropic while Qwen3.6 27B is developed by Qwen. Claude Opus 5.5 has a 1.0M token context window vs Qwen3.6 27B's 256K. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

It depends on your use case. Claude Opus 5.5 and Qwen3.6 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

Claude Opus 5.5 costs $4/M input tokens and Qwen3.6 27B costs $0.325/M input tokens. Qwen3.6 27B is $3.67/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 Claude Opus 5.5 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.

Keep exploring

More comparisons

Against the newest arrivals

Claude Opus 5.5 logoSolar Mini 4 logo
Claude Opus 5.5 vs Solar Mini 4Landed Sep 2026
Qwen3.6 27B logoQwen3.8 Max Prime logo
Qwen3.6 27B vs Qwen3.8 Max PrimeLanded Sep 2026
Claude Opus 5.5 logoGLM 5.3 Prime logo
Claude Opus 5.5 vs GLM 5.3 PrimeLanded Sep 2026
Qwen3.6 27B logoQwen3.8 Omni Flash logo
Qwen3.6 27B vs Qwen3.8 Omni FlashLanded Sep 2026
Claude Opus 5.5 logoCommand A+ logo
Claude Opus 5.5 vs Command A+Landed Sep 2026
Qwen3.6 27B logoGPT-6 Luna Pro logo
Qwen3.6 27B vs GPT-6 Luna ProLanded Sep 2026
Claude Opus 5.5 logoGPT-6 Sol Pro logo
Claude Opus 5.5 vs GPT-6 Sol ProLanded Sep 2026
Qwen3.6 27B logoGPT-6 Luna logo
Qwen3.6 27B vs GPT-6 LunaLanded Sep 2026

Same lab, same size, long tail

Claude Opus 5.5 logoClaude Opus 4.6 logo
Claude Opus 5.5 vs Claude Opus 4.6Same lab
Claude Opus 5.5 logoClaude Fable 5.1 logo
Claude Opus 5.5 vs Claude Fable 5.1Same lab
Qwen3.6 27B logoQwen3.7 Flash logo
Qwen3.6 27B vs Qwen3.7 FlashSame lab
Qwen3.6 27B logoQwen3.8 Flash logo
Qwen3.6 27B vs Qwen3.8 FlashSame lab
Claude Opus 5.5 logoHunter Alpha logo
Claude Opus 5.5 vs Hunter AlphaNew provider
Claude Opus 5.5 logoHy3 logo
Claude Opus 5.5 vs Hy3New provider
Claude Opus 5.5 logoHy4 Preview logo
Claude Opus 5.5 vs Hy4 PreviewNew provider
Claude Opus 5.5 logoInkling logo
Claude Opus 5.5 vs InklingNew provider

Model pages

Claude Opus 5.5 logo
Claude Opus 5.519 outputs, specs and price
Qwen3.6 27B logo
Qwen3.6 27B55 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
  • Default Index
  • 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