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. Qwen3.7 PlusvsSolar Mini 4
Updated Sep 2026

Qwen3.7 PlusvsSolar Mini 4

Solar Mini 4 is cheaper than Qwen3.7 Plus at $0.05/M vs $0.4/M input tokens.

Qwen3.7 Plus and Solar Mini 4 compared across 19 shared prompts
SpecQwen3.7 PlusSolar Mini 4
Input price$0.4/M tokens$0.05/M tokens
Output price$1.6/M tokens$0.2/M tokens
Context window1.0M tokens524K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedMay 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 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) –…

Qwen3.7 Plus741 words
Here is the simplified LBO underwriting analysis for HarborTech Services (HTS). Assumption: "1.0% annual amortization" is modeled as 1.0% of the beginning-of-year Term Loan balance, which is standard LBO convention unless "of original principal" is specified.
Read the full answer
Solar Mini 41,718 words
518.51935 New TL: 276.34682 - 86.82747 = 189.51935 Mezz: PIK 194.8377888 * 0.02 = 3.896755776 New Mezz: 194.8377888 + 3.896755776 = 198.734544576 Ending Balances: TL: 189.52 Mezz: 198.73 Total Debt: 388.25 Exit (End of FY2030): Exit EBITDA: 206.6252668 Exit Multiple: 10.5x Exit EV: 206.6252668 * 10.5 = 2,169.5653014…
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…

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.
Read the full answer
Solar Mini 41,364 words
Chronos & Tides A Three-Component Study in Preservation, Precision, and Ephemeral Sensation Concept: A single plate that traces the lifecycle of an umami-rich flavor profile through three distinct temporal states: fermented (time in), precision-cooked (time controlled), and volatile (time suspended).
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…

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.
Read the full answer
Solar Mini 41,539 words
This is a fascinating counterfactual. I need to note upfront that the scientific and engineering foundations for a working transistor did not exist in 1920. Quantum mechanics was barely a decade old, band theory of solids hadn't been developed, and semiconductor physics (doping, p-n junctions, electron mobility) was…
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…

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.
Read the full answer
Solar Mini 4893 words
For the Experienced Software Engineer From a systems architecture perspective, the skepticism that "predicting the next word" yields intelligence is understandable, but it stems from viewing the model through a deterministic, code-based lens rather than a probabilistic, distributed-systems lens.
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…

Qwen3.7 Plus1,206 words
This architecture contains several critical anti-patterns for a real-time collaborative system. While it might work for a handful of users, it will fail catastrophically under load and produce severe data consistency issues.
Read the full answer
Solar Mini 41,165 words
Here’s a systematic breakdown of the architectural weaknesses, failure modes, and scaling bottlenecks in your design, along with specific solutions and their trade-offs. Real-Time Synchronization & WebSocket Affinity Issue: Round-robin load balancing is stateless, but WebSockets are stateful and long-lived.
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…

Qwen3.7 Plus311 words
Creative Name: Midnight Velvet Chocolate Peanut Butter Bites These no-bake, fudgy bites taste like a cross between a chocolate peanut butter cup and a soft oatmeal cookie. They require zero baking, come together in minutes, and use strictly shelf-stable staples you likely already have.
Read the full answer
Solar Mini 4266 words
🌟 Golden Chickpea & Rice Skillet This comforting one-pot dish combines hearty chickpeas, tender rice, and a warm blend of spices. It's a perfect way to use up pantry staples for a quick, flavorful meal.
Read the full answer
Our Verdict
Qwen3.7 Plus
Qwen3.7 Plus
Solar Mini 4
Solar Mini 4Runner-up

Not enough votes to call it. On the specs, Qwen3.7 Plus has the edge: bigger model tier, bigger context window.

Solar Mini 4 costs 8.0x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3.7 Plus
Input
$0.40
Output
$1.60
Solar Mini 4
Input
$0.05
8.0× cheaper
Output
$0.20
8.0× cheaper

Solar Mini 4 is cheaper on both: 8.0× input, 8.0× output.

Where to run it

2 hosts

Qwen3.7 Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.32 in·$1.28 out·1M·100% up
Solar Mini 41 host
HostInOutContextUptime
UUpstage$0.05 in·$0.20 out·524k·100% up

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

Research

What we learned reading every model

FAQ

Common questions

Qwen3.7 Plus is developed by Qwen while Solar Mini 4 is developed by Upstage. Qwen3.7 Plus has a 1.0M token context window vs Solar Mini 4's 524K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3.7 Plus and Solar Mini 4 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.

Qwen3.7 Plus costs $0.4/M input tokens and Solar Mini 4 costs $0.05/M input tokens. Solar Mini 4 is $0.35/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 Qwen3.7 Plus and Solar Mini 4 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

Qwen3.7 Plus logoQwen3.8 Max Prime logo
Qwen3.7 Plus vs Qwen3.8 Max PrimeLanded Sep 2026
Solar Mini 4 logoGLM 5.3 Prime logo
Solar Mini 4 vs GLM 5.3 PrimeLanded Sep 2026
Qwen3.7 Plus logoQwen3.8 Omni Flash logo
Qwen3.7 Plus vs Qwen3.8 Omni FlashLanded Sep 2026
Solar Mini 4 logoCommand A+ logo
Solar Mini 4 vs Command A+Landed Sep 2026
Qwen3.7 Plus logoClaude Opus 5.5 logo
Qwen3.7 Plus vs Claude Opus 5.5Landed Sep 2026
Solar Mini 4 logoGPT-6 Luna Pro logo
Solar Mini 4 vs GPT-6 Luna ProLanded Sep 2026
Qwen3.7 Plus logoGPT-6 Sol Pro logo
Qwen3.7 Plus vs GPT-6 Sol ProLanded Sep 2026
Solar Mini 4 logoGPT-6 Luna logo
Solar Mini 4 vs GPT-6 LunaLanded Sep 2026

Same lab, same size, long tail

Qwen3.7 Plus logoQwen3.7 Flash logo
Qwen3.7 Plus vs Qwen3.7 FlashSame lab
Qwen3.7 Plus logoQwen3.8 Flash logo
Qwen3.7 Plus vs Qwen3.8 FlashSame lab
Solar Mini 4 logoSolar Pro 4 logo
Solar Mini 4 vs Solar Pro 4Same lab
Solar Mini 4 logoSolar Pro 3 logo
Solar Mini 4 vs Solar Pro 3Same lab
Solar Mini 4 logoInkling logo
Solar Mini 4 vs InklingNew provider
Qwen3.7 Plus logoINTELLECT-3 logo
Qwen3.7 Plus vs INTELLECT-3Same size
Qwen3.7 Plus logoKimi K2 logo
Qwen3.7 Plus vs Kimi K2New provider
Qwen3.7 Plus logoKimi K2 0905 logo
Qwen3.7 Plus vs Kimi K2 0905New provider

Model pages

Qwen3.7 Plus logo
Qwen3.7 Plus58 outputs, specs and price
Solar Mini 4 logo
Solar Mini 419 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