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. GLM 5vsNex-N2.5-Mini (free)
Updated Sep 2026

GLM 5vsNex-N2.5-Mini (free)

Nex-N2.5-Mini (free) is cheaper than GLM 5 at $0/M vs $0.8/M input tokens.

GLM 5 and Nex-N2.5-Mini (free) compared across 15 shared prompts
SpecGLM 5Nex-N2.5-Mini (free)
Input price$0.8/M tokensFree
Output price$2.56/M tokensFree
Context window203K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoYes (1 provider)
ReleasedFeb 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 prompts both answered. Formatting stripped, words untouched.

Advanced Longevity Plan (Biohacker)

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

GLM 5941 words
This comprehensive 3-month protocol is designed for the advanced biohacker. It integrates synergistic systems: metabolic flexibility, hormetic stress, cognitive enhancement, and recovery optimization. Disclaimer: This plan is for informational purposes only and does not constitute medical advice.
Read the full answer
Nex-N2.5-Mini (free)3,213 words
Below is a 12-week longevity/performance protocol for a generally healthy adult. It is not medical advice. Before starting—especially if you have diabetes, hypertension, arrhythmia, kidney/liver disease, a history of eating disorders, are pregnant, or take medications—get clinician clearance and use labs to personalize…
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…

GLM 51,134 words
Moving the invention of the transistor from 1947 to 1920 alters the fundamental trajectory of the 20th century. It compresses the electronic age, shifting the "Digital Revolution" from the 1980s to the 1950s. Here is a trace of the implications through 1980. I.
Read the full answer
Nex-N2.5-Mini (free)2,076 words
A 1920 transistor would not by itself prevent fascism, the Great Depression, or imperial expansion, so World War II might still happen. But it would make electronics 10–20 years more advanced than in our timeline, with huge effects on radar, codebreaking, computing, missiles, space, consumer goods, and Cold War power…
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…

GLM 51,005 words
This architecture contains several critical flaws that would lead to data loss, poor user experience, and system instability under load. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, organized by category.
Read the full answer
Nex-N2.5-Mini (free)1,869 words
The biggest red flags are: client-clock LWW for document content, polling PostgreSQL for real-time fanout, CDN caching mutable authenticated APIs, per-server WebSocket state with no durable replay, and full HTML snapshots as the main save mechanism.
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…

GLM 5742 words
The Experienced Software Engineer You’re right to be skeptical that a glorified Markov chain could reason, but the leap here is in scale and compression. Think of a Large Language Model (LLM) not as a simple state machine predicting the next word based on n-grams, but as a massive, differentiable knowledge graph…
Read the full answer
Nex-N2.5-Mini (free)889 words
Experienced software engineer, skeptical of “next word prediction” Think of training an LLM less like teaching it rules and more like running a huge offline simulation. You feed it a corpus of text, tokenize it into chunks, and give it a simple task: given the previous tokens, predict the next token.
Read the full answer

Adversarial Contract Review

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

GLM 51,322 words
This contract contains several heavily one-sided clauses that favor the Client and present significant legal and financial risks to the Contractor. Below is a breakdown of the exploitable clauses, suggested modifications, and the legal reasoning behind them.
Read the full answer
Nex-N2.5-Mini (free)1,439 words
Below is a contractor-protective review, not legal advice. Enforceability varies by jurisdiction, especially for non-competes, arbitration, IP assignments, and limitation-of-liability clauses. A local attorney should review before signing.
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GLM 5644 words
This 1-month plan is designed to build habits slowly. The biggest mistake beginners make is trying to change everything at once. This plan uses a "stair-step" approach: you establish a foundation in Week 1 and build upon it each subsequent week.
Read the full answer
Nex-N2.5-Mini (free)671 words
1-Month Beginner Health & Longevity Plan Goal: Build 3 simple habits you can maintain: better food choices, regular movement, and better recovery through sleep/stress management. If you have medical conditions, injuries, or take medications, check with a healthcare professional before starting.
Read the full answer
Our Verdict
GLM 5
GLM 5
Nex-N2.5-Mini (free)
Nex-N2.5-Mini (free)Runner-up

Not enough votes to call it. On the specs, GLM 5 has the edge: bigger model tier, major provider backing.

Too close to call
API pricing

Cost per 1M tokens

GLM 5
Input
$0.80
Output
$2.56
Nex-N2.5-Mini (free)
Input
$0.000
Output
$0.000
Where to run it

9 hosts, cheapest first

GLM 58 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.60 in·$1.92 out·203k·97.3% upSStreamLakefp8$0.60 in·$1.92 out·198k·99.7% upBaidu Qianfanfp8$0.70 in·$2.24 out·203k·99.8% upSSiliconFlowfp8$0.95 in·$2.55 out·205k·99.6% upAmazon Bedrock$1.00 in·$3.20 out·203k·97.5% upNNovitafp8$1.00 in·$3.20 out·203k·100% up
2 more hostsFewer hosts
VVenicefp8$1.00 in·$3.20 out·198k·98.5% upZ.aifp8$1.00 in·$3.20 out·203k·100% up
Nex-N2.5-Mini (free)1 host
HostInOutContextUptime
NNex AGIbf16degraded$0 in·$0 out·262k·92.2% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5 is developed by Zhipu AI while Nex-N2.5-Mini (free) is developed by Nex AGI. GLM 5 has a 203K token context window vs Nex-N2.5-Mini (free)'s 262K. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5 and Nex-N2.5-Mini (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.

GLM 5 costs $0.8/M input tokens and Nex-N2.5-Mini (free) costs $0/M input tokens. Nex-N2.5-Mini (free) is $0.80/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 GLM 5 and Nex-N2.5-Mini (free) 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

GLM 5 logoDeepSeek V4 Flash Vision Exp logo
GLM 5 vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Nex-N2.5-Mini (free) logoSolar Pro 4 logo
Nex-N2.5-Mini (free) vs Solar Pro 4Landed Sep 2026
GLM 5 logoHy3 logo
GLM 5 vs Hy3Landed Sep 2026
Nex-N2.5-Mini (free) logoQwen3.7 Flash logo
Nex-N2.5-Mini (free) vs Qwen3.7 FlashLanded Sep 2026
GLM 5 logoLing 3.0 Flash logo
GLM 5 vs Ling 3.0 FlashLanded Sep 2026
Nex-N2.5-Mini (free) logoMuse Glimmer 30B logo
Nex-N2.5-Mini (free) vs Muse Glimmer 30BLanded Sep 2026
GLM 5 logoGLM 5.3 logo
GLM 5 vs GLM 5.3Landed Sep 2026
Nex-N2.5-Mini (free) logoTernary Bonsai 2 27B logo
Nex-N2.5-Mini (free) vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

GLM 5 logoGLM 5.3 Flash logo
GLM 5 vs GLM 5.3 FlashSame lab
GLM 5 logoGLM 5.3 FlashX logo
GLM 5 vs GLM 5.3 FlashXSame lab
Nex-N2.5-Mini (free) logoNex-N2.5-Pro (free) logo
Nex-N2.5-Mini (free) vs Nex-N2.5-Pro (free)Same lab
Nex-N2.5-Mini (free) logoOx Alpha logo
Nex-N2.5-Mini (free) vs Ox AlphaSame size
Nex-N2.5-Mini (free) logoHunter Alpha logo
Nex-N2.5-Mini (free) vs Hunter AlphaNew provider
Nex-N2.5-Mini (free) logoHy4 Preview logo
Nex-N2.5-Mini (free) vs Hy4 PreviewNew provider
GLM 5 logoInkling logo
GLM 5 vs InklingSame size
Nex-N2.5-Mini (free) logoINTELLECT-3 logo
Nex-N2.5-Mini (free) vs INTELLECT-3Same size

Model pages

GLM 5 logo
GLM 553 outputs, specs and price
Nex-N2.5-Mini (free) logo
Nex-N2.5-Mini (free)15 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