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  5. GLM 5.3vsGPT OSS 120B
Updated Aug 2026

GLM 5.3vsGPT OSS 120B

GPT OSS 120B is cheaper than GLM 5.3 at $0.18/M vs $0.6538/M input tokens.

GLM 5.3 and GPT OSS 120B compared across 13 shared prompts
SpecGLM 5.3GPT OSS 120B
Input price$0.6538/M tokens$0.18/M tokens
Output price$2.0548/M tokens$0.8/M tokens
Context window1.3M tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Aug 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 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 5.3210 words
Golden Pantry Fried Rice Total Time: 20 minutes (5 min prep, 15 min cook) Ingredients (7 pantry staples) Cooked white rice (day-old is best) Eggs Soy sauce Garlic (minced or garlic powder) Frozen peas and carrots Canned corn Vegetable oil Instructions Prep (5 min): Break up cold rice with a fork. Drain the corn.
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GPT OSS 120B373 words
Recipe: “Golden Crunchy Chick‑a‑Boom Bites” A quick, crunchy‑savory snack that’s ready in under 20 minutes – perfect for a snack, side, or salad topper. Ingredients (7 pantry staples) # Ingredient Quantity 1 Canned chickpeas (drained & rinsed) 1 ½ cups (≈1 ½ cans) 2 Olive oil (or any neutral oil) 2 Tbsp 3 Garlic powder…
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

GLM 5.31,311 words
Architecture Review: Real-Time Collaborative Editor This design has serious issues across correctness, performance, and security. Let me break them down by severity. 🔴 Critical: Correctness / Data Loss Client-clock-based Last-Write-Wins (LWW) Problem: Client clocks are unreliable (skew, manual changes, timezone bugs).
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GPT OSS 120B2,510 words
Below is a system‑level failure‑mode / race‑condition / scaling‑bottleneck map for the architecture you described, followed by a concrete mitigation (or redesign) for each item together with the main trade‑offs to consider.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GLM 5.31,143 words
The Core Decision (Made Before Hour 1) The side effect is real, serious, and known to me now. Patients are currently taking this drug without informed consent about a ~1-in-8,000 liver failure risk. Everything else — stock price, board pressure, legal exposure — is secondary.
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GPT OSS 120B2,328 words
Executive Summary The situation is a classic “patient‑safety‑first” crisis. The drug generates $2 B in revenue, but a life‑threatening adverse event (1 / 8 000 over 5 y) has been identified that was not disclosed in the label.
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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…

GLM 5.3851 words
3-Month Advanced Longevity & Performance Optimization Protocol Note: This is an educational framework. Get baseline bloodwork and consult a physician before starting supplements/fasting, especially with any medical conditions or medications.
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GPT OSS 120B2,080 words
3‑Month “Longevity‑Hacker” Blueprint Goal: Maximize lifespan‑related biomarkers while simultaneously boosting physical strength, cardiovascular fitness, and cognitive performance using the most up‑to‑date, evidence‑based bio‑hacking tools. ⚠️ Disclaimer – This plan is for educational purposes only.
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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 5.3585 words
3 Weakest Claims in the MindMeld AI Pitch "Reads your brainwaves to predict what you want to type before you think it" Why it's weak: This claim is neurologically incoherent. EEG sensors detect electrical activity on the scalp after neural firing occurs — you cannot decode intent "before" the brain generates it.
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GPT OSS 120B1,405 words
Below is a quick “triage” of the three statements that, if left unchanged, will most likely raise eyebrows (or a “no‑thanks”) from investors, VCs, and even a skeptical engineering board.
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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 5.3415 words
1-Month Beginner Health & Longevity Plan Week 1: Foundation & Awareness Goal: Establish baselines, not perfection 🥗 Diet Track what you currently eat for 3 days (no judging—just observe) Drink a glass of water upon waking each morning Add ONE vegetable to one meal daily 🏃 Exercise Walk 15 minutes daily (any pace, any…
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GPT OSS 120B823 words
1‑Month “Kick‑Start” Plan for Health & Longevity Focus areas: Diet, Exercise, Sleep (stress‑management tips woven in) How to Use This Plan What When How Read the weekly overview first. Day 1 of each week Set a tiny, measurable goal (e.g., “walk 10 min after dinner”).
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Our Verdict
GLM 5.3
GLM 5.3
GPT OSS 120B
GPT OSS 120B

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

Too close to call
API pricing

Cost per 1M tokens

GLM 5.3
Input
$0.65
Output
$2.05
GPT OSS 120B
Input
$0.18
3.6× cheaper
Output
$0.80
2.6× cheaper

GPT OSS 120B is cheaper on both: 3.6× input, 2.6× output.

Where to run it

50 hosts, cheapest first

GLM 5.330 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.65 in·$2.05 out·1M·99.8% upMMorph$0.65 in·$2.06 out·1M·99.6% upRRekafp8$0.76 in·$2.57 out·262k·98.5% upNNovitafp8$0.78 in·$2.46 out·1M·96.4% upIio.netfp8$0.82 in·$2.77 out·262k·99.4% upPPhala$0.84 in·$2.64 out·1M·99.5% up
24 more hostsFewer hosts
DDeepInfrafp4$0.90 in·$3.00 out·1M·97.9% upDDigitalOcean$0.91 in·$2.86 out·1M·80.2% upIInceptronfp4$1.01 in·$3.29 out·1M·98.8% upSSail Researchfp8$1.02 in·$3.29 out·1M·96.7% upGGMI Cloudfp8$1.05 in·$3.30 out·1M·99.1% upSSiliconFlowfp8$1.12 in·$3.52 out·1M·99.6% upAlibaba Cloud$1.19 in·$3.74 out·1M·100% upFFriendli$1.26 in·$3.96 out·1M·100% upAAkashMLfp8$1.30 in·$4.40 out·1M·99.9% upAAtlasCloudfp8$1.40 in·$4.40 out·1M·99.2% upBBasetenfp4$1.40 in·$4.40 out·1M·99.6% upCloudflare Workers AI$1.40 in·$4.40 out·1.3M·100% upCCrusoefp4$1.40 in·$4.40 out·1M·97.4% upFFireworks$1.40 in·$4.40 out·1M·99.6% upMistralnvfp4$1.40 in·$4.40 out·1M·99.8% upModal$1.40 in·$4.40 out·1M·97.7% upPParasailfp8$1.40 in·$4.40 out·1M·98.8% upTTogether$1.40 in·$4.40 out·1M·97.7% upVVenice$1.40 in·$4.40 out·1M·77.5% upWWafer$1.40 in·$4.40 out·1M·99.2% upZ.aifp8$1.40 in·$4.40 out·1M·99.9% upIInferenceNetfp4degraded$0.90 in·$3.00 out·1M·95.8% upMMakorafp4degraded$1.05 in·$4.20 out·980k·92.9% upDDecartfp4degraded$1.19 in·$3.74 out·1M·97.8% up
GPT OSS 120B20 hosts
HostInOutContextUptime
AAkashMLbf16$0.03 in·$0.17 out·131k·99.9% upCCoreWeavefp4$0.03 in·$0.17 out·131k·99.9% upDDekaLLMbf16$0.03 in·$0.18 out·131k·99.7% upDDeepInfrabf16$0.04 in·$0.17 out·131k·99.6% upCCrusoebf16$0.05 in·$0.25 out·131k·98.6% upDDigitalOcean$0.06 in·$0.42 out·128k·100% up
14 more hostsFewer hosts
BBasetenfp4$0.10 in·$0.50 out·128k·99.9% upPParasailfp4$0.10 in·$0.75 out·131k·100% upSSambaNova$0.14 in·$0.95 out·131k·97% upAmazon Bedrock$0.15 in·$0.60 out·131k·100% upGroq$0.15 in·$0.60 out·131k·100% upNNebiusfp4$0.15 in·$0.60 out·131k·98.4% upCCerebrasfp16$0.35 in·$0.75 out·131k·100% upNNovitafp4degraded$0.05 in·$0.25 out·131k·77.9% upMMancerfp8degraded$0.05 in·$0.30 out·131k·97.6% upGoogle Vertex AIdegraded$0.09 in·$0.36 out·131k·94.8% upPPhaladegraded$0.15 in·$0.60 out·131k·73.6% upSSiliconFlowfp8degraded$0.15 in·$0.60 out·131k·77.8% upTTogetherdegraded$0.15 in·$0.60 out·131k·97% upMMaradegraded$0.15 in·$0.75 out·131k·82.4% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 is developed by Zhipu AI while GPT OSS 120B is developed by OpenAI. GLM 5.3 has a 1.3M token context window vs GPT OSS 120B's 131K. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.3 and GPT OSS 120B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

GLM 5.3 costs $0.6538/M input tokens and GPT OSS 120B costs $0.18/M input tokens. GPT OSS 120B is $0.47/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 5.3 and GPT OSS 120B 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

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GLM 5.313 outputs, specs and price
GPT OSS 120B logo
GPT OSS 120B54 outputs, specs and price
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