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  5. Laguna XS 2.1 (free)vsQwen3.7 Plus
Updated Jul 2026

Laguna XS 2.1 (free)vsQwen3.7 Plus

Laguna XS 2.1 (free) is cheaper than Qwen3.7 Plus at $0/M vs $0.4/M input tokens.

Laguna XS 2.1 (free) and Qwen3.7 Plus compared across 11 shared prompts
SpecLaguna XS 2.1 (free)Qwen3.7 Plus
Input priceFree$0.4/M tokens
Output priceFree$1.6/M tokens
Context window262K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)Yes (1 provider)No
ReleasedJul 2026May 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 11 prompts both answered. Formatting stripped, words untouched.

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…

Laguna XS 2.1 (free)602 words
Recipe: "Nocturne of Shadows and Light" Concept: A poetic exploration of ancient flavors (pomegranate, quince) intertwined with modernist techniques (spherification, sous vide) and an unexpected coffee-cocoa depth, harmonizing the boldness of game with the elegance of fruit.
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Qwen3.7 Plus1,083 words
Dish Title: Verdant Tide A Study in Anticipation: Langoustine, Unripe Green Strawberry, Tarragon, and Cold-Smoked Ossetra Caviar Conceptual Narrative Verdant Tide captures the fleeting, liminal space between the briny depths of the ocean and the awakening of the early spring forest floor.
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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…

Laguna XS 2.1 (free)610 words
For the Software Engineer Think of training a language model like building a distributed prediction system with an incredibly complex API contract. Instead of training on labeled datasets where you explicitly tell it "this text is sentiment-positive," you're feeding it massive amounts of text and asking it to predict…
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Qwen3.7 Plus863 words
Here is how a Large Language Model learns and generates text, tailored specifically to the background, skepticism, and priorities of each audience. The Experienced Software Engineer Focus: Distributed systems, latent space, emergent behavior, and addressing the "glorified autocomplete" skepticism.
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Historical Counterfactual Analysis

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

Laguna XS 2.1 (free)870 words
The Transistor Revolution: A 1920 Timeline Analysis Immediate Impact (1920-1940) Early Military Applications With transistors available 27 years before radar, telecommunications would see revolutionary improvements: Radio warfare: Nations could develop sophisticated radio direction-finding and jamming capabilities by…
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Qwen3.7 Plus1,170 words
If the transistor had been invented and commercialized in 1920 (perhaps by Julius Lilienfeld, who patented the field-effect concept in 1925, or an alternate timeline version of the Bell Labs team), the 20th century would have undergone a profound acceleration.
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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…

Laguna XS 2.1 (free)635 words
I'll analyze each clause in this software consulting agreement to identify potential risks to the contractor and suggest modifications with legal reasoning. Clause-by-Clause Analysis Clause 1: SCOPE Risk: Unlimited scope creep without additional compensation Modification: Add: "Any modification to the scope requiring…
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Qwen3.7 Plus1,450 words
Disclaimer: I am an AI, not an attorney. The following analysis is for educational and informational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction (e.g., state, country).
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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…

Laguna XS 2.1 (free)877 words
INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long/Short/Comps Analysis Date: [Insert Date] Recommendation: LONG 12-Month Price Target Range: $85–$105 Thesis: LedgerLift is executing on a best-in-class B2B SaaS spend management platform with high net revenue retention (NRR), strong gross margins, and a rapidly…
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Qwen3.7 Plus1,010 words
INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Your Name], Analyst Date: October 24, 2023 Subject: LedgerLift (LLLL) – Initiation of Coverage Recommendation & Thesis Recommendation: SHORT 12-Month Price Target: $28 – $35 (30%–40% downside from $46) Thesis: LedgerLift trades at a significant premium…
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Advanced Longevity Plan (Biohacker)

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

Laguna XS 2.1 (free)828 words
3-Month Longevity & Performance Optimization Plan for a Biohacker Designed for advanced biohackers with a focus on longevity, cognitive sharpness, and peak physical performance. Assumes access to basic medical testing, wearables, and some advanced tools (e.g., neurofeedback apps).
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Qwen3.7 Plus1,220 words
This is a comprehensive, cutting-edge 3-month longevity and performance protocol designed for an advanced biohacker. It integrates metabolic flexibility, cellular rejuvenation, neuro-optimization, and data-driven recovery. Disclaimer: This protocol is for educational purposes.
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Our Verdict
Laguna XS 2.1 (free)
Laguna XS 2.1 (free)
Qwen3.7 Plus
Qwen3.7 Plus

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Laguna XS 2.1 (free)
Input
$0.000
Output
$0.000
Qwen3.7 Plus
Input
$0.40
Output
$1.60
Where to run it

2 hosts

Laguna XS 2.1 (free)1 host
HostInOutContextUptime
PPoolsidefp8$0 in·$0 out·262k·99.8% up
Qwen3.7 Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.32 in·$1.28 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

Laguna XS 2.1 (free) is developed by Poolside while Qwen3.7 Plus is developed by Qwen. Laguna XS 2.1 (free) has a 262K token context window vs Qwen3.7 Plus's 1.0M. You can compare their actual outputs across 11 challenges on Rival to see how they differ in practice.

It depends on your use case. Laguna XS 2.1 (free) and Qwen3.7 Plus each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 11 challenges so you can judge which fits your needs best.

Laguna XS 2.1 (free) costs $0/M input tokens and Qwen3.7 Plus costs $0.4/M input tokens. Laguna XS 2.1 (free) is $0.40/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 Laguna XS 2.1 (free) and Qwen3.7 Plus 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

Laguna XS 2.1 (free) logo
Laguna XS 2.1 (free)11 outputs, specs and price
Qwen3.7 Plus logo
Qwen3.7 Plus58 outputs, specs and price
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