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 4.6vsNex-N2.5-Mini (free)
Updated Sep 2026

GLM 4.6vsNex-N2.5-Mini (free)

Nex-N2.5-Mini (free) is cheaper than GLM 4.6 at $0/M vs $0.4/M input tokens.

GLM 4.6 and Nex-N2.5-Mini (free) compared across 15 shared prompts
SpecGLM 4.6Nex-N2.5-Mini (free)
Input price$0.4/M tokensFree
Output price$1.75/M tokensFree
Context window203K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoYes (1 provider)
ReleasedSep 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 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…

GLM 4.6288 words
Of course! Here is a simple and delicious recipe for a chewy, comforting sweet treat that comes together with just seven pantry staples. Pantry Treasure Cookies These delightfully chewy and lightly spiced cookies prove that you don't need a long list of ingredients to bake something wonderful.
Read the full answer
Nex-N2.5-Mini (free)111 words
Golden Peanut Lantern Noodles Time: Prep 5 min Cook 10 min Serves: 2 Ingredients — 7 pantry staples Spaghetti or any noodles Peanut butter Soy sauce Honey Garlic powder Rice vinegar Water Instructions Cook the noodles: Boil noodles in water until tender. Reserve about ½ cup cooking water, then drain.
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 4.61,573 words
This is a fascinating and complex scenario. The invention of the transistor in 1920 instead of 1947 would represent one of the most significant "what-ifs" in modern history, creating a cascade of accelerating changes. Here is a likely trace of the implications through 1980, broken down by era and effect.
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

Advanced Longevity Plan (Biohacker)

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

GLM 4.6735 words
Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan integrates advanced protocols across multiple domains to create a synergistic effect, pushing the boundaries of human performance and healthspan.
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

Adversarial Contract Review

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

GLM 4.61,669 words
Of course. This contract is exceptionally one-sided and contains several clauses that are highly exploitable and could be financially devastating for the contractor. Here is a clause-by-clause analysis of the problems, 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

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GLM 4.61,025 words
Excellent. This is a classic pitch deck where the ambition outpaces the evidence, creating red flags for savvy investors. Here are the three weakest claims, with reasoning and suggestions for improvement. The "Consumer-Grade" vs.
Read the full answer
Nex-N2.5-Mini (free)594 words
The 3 weakest claims are the ones that are broadest, least falsifiable, or mathematically inconsistent. # Weak claim Why it’s weak How to strengthen it 1 “MindMeld AI reads your brainwaves to predict what you want to type before you think it.”
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 4.6793 words
For the Experienced Software Engineer Think of an LLM's training process as a massive, distributed compression and compilation task. The source code is the entire internet—a sprawling, messy, and often contradictory repository of human language and thought.
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
Our Verdict
GLM 4.6
GLM 4.6
Nex-N2.5-Mini (free)
Nex-N2.5-Mini (free)Runner-up

Not enough votes to call it. On the specs, GLM 4.6 has the edge: bigger model tier, major provider backing.

Too close to call
API pricing

Cost per 1M tokens

GLM 4.6
Input
$0.40
Output
$1.75
Nex-N2.5-Mini (free)
Input
$0.000
Output
$0.000
Where to run it

5 hosts, cheapest first

GLM 4.64 hosts
HostInOutContextUptime
VVenicefp4$0.43 in·$1.75 out·198k·99.9% upDDeepInfrafp4$0.50 in·$2.00 out·203k·99.6% upNNovitabf16$0.55 in·$2.20 out·205k·98.8% upZ.aifp4$0.60 in·$2.20 out·203k·99.7% 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 4.6 is developed by Zhipu AI while Nex-N2.5-Mini (free) is developed by Nex AGI. GLM 4.6 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 4.6 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 4.6 costs $0.4/M input tokens and Nex-N2.5-Mini (free) costs $0/M input tokens. Nex-N2.5-Mini (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 GLM 4.6 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 4.6 logoDeepSeek V4 Flash Vision Exp logo
GLM 4.6 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 4.6 logoHy3 logo
GLM 4.6 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 4.6 logoLing 3.0 Flash logo
GLM 4.6 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 4.6 logoGLM 5.3 logo
GLM 4.6 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 4.6 logoGLM 5.3 Flash logo
GLM 4.6 vs GLM 5.3 FlashSame lab
GLM 4.6 logoGLM 5.3 FlashX logo
GLM 4.6 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) logoDeepSeek V3.2 Speciale logo
Nex-N2.5-Mini (free) vs DeepSeek V3.2 SpecialeSame size
Nex-N2.5-Mini (free) logoDeepSeek V4 Flash logo
Nex-N2.5-Mini (free) vs DeepSeek V4 FlashSame size
Nex-N2.5-Mini (free) logoDeepSeek V4 Flash 0731 logo
Nex-N2.5-Mini (free) vs DeepSeek V4 Flash 0731Same size
Nex-N2.5-Mini (free) logoDeepSeek V4 Pro logo
Nex-N2.5-Mini (free) vs DeepSeek V4 ProNew provider

Model pages

GLM 4.6 logo
GLM 4.659 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