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  5. Qwen3.8 27BvsQwen3.8 Max Prime
Updated Sep 2026

Qwen3.8 27BvsQwen3.8 Max Prime

Qwen3.8 27B is cheaper than Qwen3.8 Max Prime at $0.4/M vs $4/M input tokens.

Qwen3.8 27B and Qwen3.8 Max Prime compared across 19 shared prompts
SpecQwen3.8 27BQwen3.8 Max Prime
Input price$0.4/M tokens$4/M tokens
Output price$3/M tokens$12/M tokens
Context window262K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)Yes (1 provider)No
ReleasedAug 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

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…

Qwen3.8 27B116 words
Pantry Firecracker Black Beans A quick, savory, one-pan dish made with only 7 common pantry ingredients. Estimated time: Prep: 5 minutes Cook: 10 minutes Total: about 15 minutes Ingredients 1 can black beans, drained 2 tablespoons olive oil 1 teaspoon ground cumin 1/2 teaspoon chili powder 1/2 teaspoon garlic powder…
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Qwen3.8 Max Prime223 words
🍯 Golden Hour Noodles A sweet, savory, garlicky pasta that tastes like it took way more effort than it did. Ingredients (7) # Ingredient Amount 1 Spaghetti 8 oz (half a box) 2 Butter 3 tablespoons 3 Garlic, minced 4 cloves 4 Honey 2 tablespoons 5 Soy sauce 1 tablespoon 6 Red pepper flakes ½ teaspoon 7 Parmesan cheese…
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Qwen3.8 27B3,682 words
This is a general contractor-side risk review, not legal advice. The agreement is heavily one-sided and should not be signed as drafted. Many provisions may be negotiable, and some may be unenforceable depending on jurisdiction, but you should not rely on unenforceability as your main protection.
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Qwen3.8 Max Prime2,126 words
Contract Analysis: Exploitative Clauses & Recommended Modifications Executive Summary This agreement is severely one-sided in favor of the Client. Nearly every clause shifts risk, cost, or obligation onto the Contractor while granting the Client broad unilateral rights. Below is a clause-by-clause breakdown.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Qwen3.8 27B4,268 words
Below is a comprehensive issue register based on the architecture you described. I’m assuming: “change event” can be a small edit, possibly per keystroke or per paragraph. Documents are stored as HTML blobs. Each API server owns only its own WebSocket clients.
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Qwen3.8 Max Prime2,271 words
Architecture Analysis: Failure Modes, Race Conditions & Scaling Bottlenecks SYNC & CONSISTENCY LAYER 1.1 Last-Write-Wins with Client Clocks (Critical) Failure Mode: Client clocks are unreliable. A user with a clock skewed +5 minutes will always "win" conflicts.
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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…

Qwen3.8 27B1,144 words
For an experienced software engineer Think of a large language model as a stateless inference service plus an enormous offline training pipeline. At inference time, the model takes a prompt, converts it into tokens, and produces a probability distribution over the next token.
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Qwen3.8 Max Prime1,147 words
For the Software Engineer Think of it this way: you've built systems where simple rules at the node level produce emergent behavior at the system level — consensus protocols, eventual consistency, cellular automata-like patterns in distributed state machines. An LLM is a similar phenomenon at a different scale.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

Qwen3.8 27B837 words
Fictional internal memo; not investment advice. Recommendation: Short (moderate conviction) 12-month PT range: $30–$44 Thesis: LLLT is a high-quality, cash-rich spend-management SaaS business, but at $46 it embeds a peer EBIT multiple that its 20% FY26E EBIT margin and conservative DCF do not support.
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Qwen3.8 Max Prime1,001 words
INVESTMENT COMMITTEE MEMO LedgerLift (LLLT) B2B Spend Management & AP Automation SaaS Date: [Current] Analyst: [Name] Sector: Enterprise Software RECOMMENDATION LONG 12-Month Price Target: $50–$58 Current: $46 Thesis: LedgerLift is a high-quality compounder (123% NRR, 18-month CAC payback, 92% subscription mix) trading…
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Mini LBO Underwrite

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

Qwen3.8 27B692 words
All figures in $m unless noted. Assumptions: 12.0x entry multiple is EV/EBITDA. Interest is calculated on beginning-of-year debt balances. Mandatory Term Loan amortization = 1% of original Term Loan = $4.8m/yr. Mezz PIK = 2% of beginning Mezz balance, compounded into principal.
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Qwen3.8 Max Prime673 words
HarborTech Services (HTS) – LBO Underwriting Memo Entry & Capital Structure Item Amount FY2025 EBITDA $120.0m Entry Multiple 12.0x Enterprise Value $1,440.0m Transaction Fees (2.0% of EV) $28.8m Total Uses $1,468.8m Term Loan (4.0x, 9.0% cash, 1.0% amort) $480.0m Mezzanine (1.5x, 12.0% cash + 2.0% PIK) $180.0m Sponsor…
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Our Verdict
Qwen3.8 Max Prime
Qwen3.8 Max Prime
Qwen3.8 27B
Qwen3.8 27BRunner-up

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

Qwen3.8 27B costs 4.0x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3.8 27B
Input
$0.40
10× cheaper
Output
$3.00
4.0× cheaper
Qwen3.8 Max Prime
Input
$4.00
Output
$12.00

Qwen3.8 27B is cheaper on both: 10× input, 4.0× output.

Where to run it

17 hosts, cheapest first

Qwen3.8 27B16 hosts
HostInOutContextUptime
WWafer$0.09 in·$4.40 out·262k·100% upRReka$0.09 in·$4.40 out·262k·99% upDDekaLLM$0.10 in·$4.40 out·262k·99.9% upDDarkbloomfp4$0.10 in·$1.80 out·262k·99.7% upDDeepInfrabf16$0.15 in·$1.88 out·262k·98% upPPhala$0.20 in·$2.08 out·262k·99.1% up
10 more hostsFewer hosts
MMancerfp8$0.20 in·$2.50 out·262k·99.4% upCChutesfp8$0.24 in·$2.20 out·262k·99.1% upPParasailfp8$0.24 in·$2.20 out·262k·100% upAAkashMLfp8$0.25 in·$2.20 out·262k·99.8% upIIonstreamfp8$0.25 in·$2.55 out·262k·97.4% upCCoreWeavefp8$0.40 in·$3.00 out·262k·99.7% upNNovita$0.42 in·$3.00 out·1M·99.8% upAlibaba Cloud$0.42 in·$2.55 out·1M·99.8% upCloudflare Workers AI$0.45 in·$3.20 out·262k·93.5% upVVenicefp8$0.45 in·$3.20 out·262k·98.8% up
Qwen3.8 Max Prime1 host
HostInOutContextUptime
Alibaba Cloud$4.00 in·$12.00 out·1M·99.9% up

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

Research

What we learned reading every model

FAQ

Common questions

Both are developed by Qwen but target different use cases. Qwen3.8 27B has a 262K token context window vs Qwen3.8 Max Prime's 1.0M. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3.8 27B and Qwen3.8 Max Prime each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

Qwen3.8 27B costs $0.4/M input tokens and Qwen3.8 Max Prime costs $4/M input tokens. Qwen3.8 27B is $3.60/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 Qwen3.8 27B and Qwen3.8 Max Prime 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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