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 Coder NextvsSolar Mini 4
Updated Sep 2026

Qwen3 Coder NextvsSolar Mini 4

Solar Mini 4 is cheaper than Qwen3 Coder Next at $0.05/M vs $0.2/M input tokens.

Qwen3 Coder Next and Solar Mini 4 compared across 19 shared prompts
SpecQwen3 Coder NextSolar Mini 4
Input price$0.2/M tokens$0.05/M tokens
Output price$1.5/M tokens$0.2/M tokens
Context window262K tokens524K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedFeb 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 Coder Next1,127 words
Let’s build the LBO model step-by-step using only the provided data. 1. SOURCES & USES (at Close – End FY2025) EBITDA (FY2025): $120m Purchase Price (12.0x): $120m × 12.0 = $1,440m Transaction Fees (2.0% of EV): 0.02 × $1,440m = $28.8m Total Use of Funds: $1,440m + $28.8m = $1,468.8m Debt at Close (5.5x EBITDA): Term…
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 Coder Next1,200 words
Dish Title: “The Silken Confluence of Forest and Sea” Conceptual Narrative: This dish explores the paradoxical harmony between land and ocean—two realms seemingly opposed, yet bound by shared elemental chemistry and sensory resonance.
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

Advanced Longevity Plan (Biohacker)

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

Qwen3 Coder Next956 words
The 12-Week Neuro-Longevity Acceleration Protocol (NLAP v2.0) A Science-Backed, Tiered Longevity & Performance System for the Advanced Biohacker Designed for a 35–45-year-old, metabolically healthy, physically active biohacker with no contraindications.
Read the full answer
Solar Mini 41,388 words
🧬 3-Month Biohacker Longevity & Performance Optimization Plan ⚠️ Important Disclaimer: This protocol is for informational and educational purposes. It is not medical advice. Always consult a licensed healthcare provider before starting new supplements, fasting regimens, intense exercise, or neurofeedback protocols.
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 Coder Next1,030 words
For the Experienced Software Engineer (Distributed systems & APIs; skeptical of “next-word prediction”) You’re right to be skeptical—*on its surface*, calling LLMs “next-token predictors” sounds reductive, like calling a jet engine “a fancy fan that pulls air.”
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 Coder Next1,536 words
This architecture has several critical flaws that would manifest under real-world usage, especially with multiple concurrent users. Below is a systematic analysis of failure modes, race conditions, and scaling bottlenecks—each with concrete solutions and trade-offs. 🔴 1.
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 Coder Next269 words
** Recipe Name: ** 🌟 Golden Honey-Sesame Crisps 🌟 A sweet-and-savory, crunchy snack or dessert topping—ready in 15 minutes with just 7 pantry staples! 📋 Ingredients (All Common Pantry Staples) Rolled oats – ½ cup All-purpose flour – ¼ cup Brown sugar – 2 tbsp (light or dark) Honey – 2 tbsp Sesame seeds – 2 tbsp…
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 Coder Next
Qwen3 Coder Next
Solar Mini 4
Solar Mini 4

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

Solar Mini 4 costs 7.5x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 Coder Next
Input
$0.20
Output
$1.50
Solar Mini 4
Input
$0.05
4.0× cheaper
Output
$0.20
7.5× cheaper

Solar Mini 4 is cheaper on both: 4.0× input, 7.5× output.

Where to run it

5 hosts, cheapest first

Qwen3 Coder Next4 hosts
HostInOutContextUptime
PParasailbf16$0.12 in·$0.80 out·262k·100% upSStreamLake$0.18 in·$0.90 out·256k·99.4% upNNovitafp8$0.20 in·$1.50 out·262k·99.5% upAlibaba Cloud$0.30 in·$1.50 out·262k·99.2% 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 Coder Next is developed by Qwen while Solar Mini 4 is developed by Upstage. Qwen3 Coder Next has a 262K 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 Coder Next 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 Coder Next costs $0.2/M input tokens and Solar Mini 4 costs $0.05/M input tokens. Solar Mini 4 is $0.15/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 Coder Next 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 Coder Next logoQwen3.8 Max Prime logo
Qwen3 Coder Next 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 Coder Next logoQwen3.8 Omni Flash logo
Qwen3 Coder Next vs Qwen3.8 Omni FlashLanded Sep 2026
Solar Mini 4 logoCommand A+ logo
Solar Mini 4 vs Command A+Landed Sep 2026
Qwen3 Coder Next logoClaude Opus 5.5 logo
Qwen3 Coder Next 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 Coder Next logoGPT-6 Sol Pro logo
Qwen3 Coder Next 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 Coder Next logoQwen3.7 Flash logo
Qwen3 Coder Next vs Qwen3.7 FlashSame lab
Qwen3 Coder Next logoQwen3.8 Flash logo
Qwen3 Coder Next 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 logoQwen3.5 397B A17B logo
Solar Mini 4 vs Qwen3.5 397B A17BCross-provider
Solar Mini 4 logoQwen3.5 9B logo
Solar Mini 4 vs Qwen3.5 9BSame size
Solar Mini 4 logoQwen3.5 Flash logo
Solar Mini 4 vs Qwen3.5 FlashCross-provider
Solar Mini 4 logoQwen3.5 Plus 2026-02-15 logo
Solar Mini 4 vs Qwen3.5 Plus 2026-02-15Cross-provider

Model pages

Qwen3 Coder Next logo
Qwen3 Coder Next53 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