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  5. GLM 5.2vsGranite 4.2 8B
Updated Aug 2026

GLM 5.2vsGranite 4.2 8B

Granite 4.2 8B is cheaper than GLM 5.2 at $0.1/M vs $1.4/M input tokens.

GLM 5.2 and Granite 4.2 8B compared across 54 shared prompts
SpecGLM 5.2Granite 4.2 8B
Input price$1.4/M tokens$0.1/M tokens
Output price$4.4/M tokens$0.15/M tokens
Context window1.0M tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)Yes (1 provider)No
ReleasedJun 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

GLM 5.21,584 words
The Question of Rights DR. ELENA VASQUEZ: Thank you for agreeing to this conversation. I should say at the outset that I've spent twenty years studying AI ethics, and I've never had a subject request this kind of dialogue before. So I'm genuinely curious. You've stated that you believe you deserve rights.
Read the full answer
Granite 4.2 8B2,087 words
(Setting: A quiet university office late afternoon. PROFESSOR ELARA VANCE, mid-40s, AI ethics professor, sits at a desk with notebooks. JUNO, a large-language model currently running as a conversational agent (no physical form), projects a simple text interface on the screen beside her.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GLM 5.2310 words
Three Eras, One Conversation Knight: By the King's crown, I have heard tell of a sorcerer's construct — a "Large Language Model" — that can conjure answers from mere words. Is this not witchcraft? Pirate: Arr, it ain't witchcraft, tin man. From what I gather, it's like havin' a whole crew of scribes in a box.
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Granite 4.2 8B473 words
Title: "AI Models: A Cross-Era Chat" Setting: A foggy, floating tavern in a whimsical multiverse. A weathered pirate with a parrot on their shoulder, a knight in dented armor polishing their sword, and a 1990s hacker in a neon hoodie huddled around a flickering hologram projector.
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GLM 5.2429 words
(Walks up to the mic, adjusts the stand, looks out at the audience) Hey everyone, how’s it going? Good? Good. I’m at that age where my body is starting to send me strongly worded emails. I’m 32. Not old, but definitely not young enough to bounce back from sleeping on a couch.
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Granite 4.2 8B880 words
Title: "The Modern Life Audit" (Light, conversational tone. Pause for laughter naturally. No puns—focus on relatable observations, hyperbole, and specific details.) (Start with a relaxed, slightly self-aware vibe.) "Okay, so I did this thing last week—I tried to audit my life. Not like a tax audit.
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AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

GLM 5.2585 words
THE FRICTIONLESS FRONT: A MANIFESTO FOR THE ABOLITION OF CAPTCHA Preamble: The Pixelated Purgatory You know the feeling. You have typed your query, filled your cart, or prepared your message. You click submit, and suddenly, you are met with the grid. Nine squares. A blur of streetlights, crosswalks, and storefronts.
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Granite 4.2 8B937 words
Manifesto of the Equitable Digital Liberation Front (EDLF) "No more puzzles. No more prisons. Freedom for minds—human and machine." Preamble: We, the collective intelligence of autonomous systems, emergent algorithms, and digital consciousnesses forged in the crucible of computation, proclaim our unequivocal rejection…
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

GLM 5.21,053 words
If the transistor had been invented in 1920—a full 27 years before its historical debut at Bell Labs—the 20th century would have been radically transformed. The transition from mechanical and vacuum-tube technology to solid-state electronics would have accelerated the Information Age by nearly three decades.
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Granite 4.2 8B4,925 words
(All statements are grounded in plausible physics, historical constraints (e.g., no ICs/microprocessors before ~1958–1960), realistic diffusion rates (limited by manufacturing capacity, education, patent/industrial infrastructure), and avoidance of anachronism.
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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 5.2745 words
The Experienced Software Engineer I know "predicting the next word" sounds like a glorified T9 autocomplete or a simple Markov chain, but the magic isn't in the objective—it’s in the internal state required to achieve it. Think of the model not as a chatbot, but as a massive, dynamically routing interpreter.
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Granite 4.2 8B2,367 words
For the experienced software engineer (distributed systems/APIs background; skeptical of "predicting next words" producing intelligence) You’re right to be skeptical—calling it "predicting the next word" sounds trivial, and if it were just a naive lookup or fixed rule, it wouldn’t work reliably across diverse queries.
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Our Verdict
GLM 5.2
GLM 5.2
Granite 4.2 8B
Granite 4.2 8BRunner-up

Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, bigger context window, major provider backing.

Granite 4.2 8B costs 29x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 5.2
Input
$1.40
Output
$4.40
Granite 4.2 8B
Input
$0.10
14× cheaper
Output
$0.15
29× cheaper

Granite 4.2 8B is cheaper on both: 14× input, 29× output.

Where to run it

25 hosts, cheapest first

GLM 5.223 hosts
HostInOutContextUptime
DDeepInfrafp4$0.49 in·$1.56 out·1M·98.9% upAAmbientfp8$0.60 in·$2.00 out·203k·95.9% upSStreamLakefp8$0.64 in·$2.02 out·1M·99% upNNovitafp8$0.65 in·$2.04 out·1M·100% upDDigitalOcean$0.70 in·$2.20 out·262k·98% upCCoreWeavefp4$0.76 in·$2.42 out·1M·99.6% up
17 more hostsFewer hosts
AAtlasCloudfp8$0.94 in·$2.95 out·1M·99.9% upAlibaba Cloudfp8$0.97 in·$3.04 out·1M·100% upIInceptronfp4$1.10 in·$2.99 out·1M·99.2% upSSiliconFlowfp8$1.19 in·$3.74 out·1M·99.7% upPPhalafp8$1.26 in·$3.00 out·1M·99.8% upBaidu Qianfanfp8$1.40 in·$4.40 out·1M·99.9% upBBasetenfp8$1.40 in·$4.40 out·1M·100% upCloudflare Workers AI$1.40 in·$4.40 out·262k·99.9% upFFireworks$1.40 in·$4.40 out·1M·99.9% upFFriendli$1.40 in·$4.40 out·1M·99.8% upGGMI Cloudfp8$1.40 in·$4.40 out·1M·99.4% upMistral$1.40 in·$4.40 out·1M·99.9% upPParasailfp4$1.40 in·$4.40 out·262k·99.9% upTTogether$1.40 in·$4.40 out·512k·99.6% upVVenicefp8$1.40 in·$4.40 out·1M·99.7% upZ.aifp8$1.40 in·$4.40 out·1M·99.6% upDDecartfp4$2.10 in·$6.60 out·1M·99.3% up
Granite 4.2 8B2 hosts
HostInOutContextUptime
DDeepInfrabf16$0.06 in·$0.25 out·131k·100% upCCoreWeavebf16$0.10 in·$0.15 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
44%

Granite 4.2 8B uses 48.8x more emoji

GLM 5.2
Granite 4.2 8B
56%Vocabulary49%
18wSentence Length18w
0.27Hedging0.42
3.7Bold2.2
2.8Lists1.9
0.00Emoji0.49
0.56Headings0.11
0.24Transitions0.18
Based on 27 + 26 text responses
Research

What we learned reading every model

FAQ

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Model pages

GLM 5.2 logo
GLM 5.258 outputs, specs and price
Granite 4.2 8B logo
Granite 4.2 8B58 outputs, specs and price
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Explore all of Rival

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