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  5. GLM 5.3 PrimevsKimi K3
Updated Sep 2026

GLM 5.3 PrimevsKimi K3

GLM 5.3 Prime is cheaper than Kimi K3 at $2.8/M vs $3/M input tokens.

GLM 5.3 Prime and Kimi K3 compared across 16 shared prompts
SpecGLM 5.3 PrimeKimi K3
Input price$2.8/M tokens$3/M tokens
Output price$8.8/M tokens$15/M tokens
Context window1.0M tokens1.0M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 prompts both answered. Formatting stripped, words untouched.

Adversarial Contract Review

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

GLM 5.3 Prime1,694 words
Contract Analysis: Clauses Exploitable Against the Contractor This contract is heavily one-sided. Nearly every clause contains traps. Here's a clause-by-clause analysis. Scope — "modify at any time without additional compensation" Problem: This is effectively an unlimited unilateral amendment power.
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Kimi K31,904 words
Contract Risk Analysis: Contractor Perspective Overall assessment: Every substantive clause in this agreement is one-sided in the Client's favor. Several are likely unenforceable as written, but enforceability only matters after expensive litigation — the practical risk is that these clauses give the Client leverage to…
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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 5.3 Prime232 words
3-Month Advanced Longevity Optimization Protocol Disclaimer: This is educational content, not medical advice. Consult a physician before starting supplements, fasting, or intense exercise—especially if you take medications (e.g., statins, blood thinners, diabetes meds) or have chronic conditions.
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Kimi K31,167 words
The 3-Month Longevity Optimization Protocol Important caveat before we begin: This plan is designed for a healthy adult. Get physician clearance before starting—especially for prolonged fasting, high-dose supplements, and anything prescription-grade. Several items below interact with medications (notably berberine).
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GLM 5.3 Prime510 words
HarborTech Services – LBO Underwriting Summary Entry Economics EV = 12.0x × $120m = $1,440m; fees = 2% × 1,440 = $28.8m; total uses = $1,468.8m Debt: Term Loan = 4.0x × 120 = $480m (9% cash, 1%/yr amort); Mezz = 1.5x × 120 = $180m (12% cash + 2% PIK) Sponsor equity = 1,468.8 − 660 = $808.8m (~55% of cap) Annual Model…
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Kimi K3669 words
HarborTech Services LBO — IC Underwriting Conventions: interest on beginning-of-year balances; mandatory TL amort = 1% of original principal ($4.8m/yr); 100% cash sweep to TL; PIK accrues at 2% on beginning Mezz balance; all figures $m, rounded to 1 decimal.
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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 5.3 Prime1,397 words
Architecture Review: Real-Time Collaborative Editor Critical Issues Client-clock timestamps for last-write-wins (LWR) Problem: Client clocks are unreliable (skew, manual changes, timezone bugs). A user with a fast clock always wins; a slow clock's edits are silently dropped.
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Kimi K31,542 words
Architecture Review: Collaborative Document Editor Overall assessment: The load-bearing problem is the sync layer — client-clock LWW + 2-second cross-server polling guarantees data loss and divergence under normal use.
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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…

GLM 5.3 Prime962 words
"Tidal Memory" A multi-component tasting course Conceptual Narrative This dish explores the meeting point of forest and ocean — specifically, the moment when coastal fog rolls over a pine forest at low tide.
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Kimi K31,229 words
FIRST FROST Langoustine · Frost-Sweetened Parsnip · Coffee · Vanilla · Horseradish Snow The Narrative This dish is built on a piece of winter biochemistry. When the first frost strikes, parsnips and horseradish defend themselves by converting starch into sugar — a natural antifreeze — which is why country cooks have…
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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 5.3 Prime1,192 words
The Software Engineer You've probably got a mental model of "predict the next token" as something like autocomplete on your phone — a lookup table with good caching. That intuition is wrong in an interesting way.
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Kimi K31,479 words
The Software Engineer An LLM is, mechanically, just a function: a giant composition of matrix multiplications and nonlinearities that maps a sequence of tokens (chunks of text, roughly ¾ of a word each) to a probability distribution over what token comes next.
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Our Verdict
GLM 5.3 Prime
GLM 5.3 Prime
Kimi K3
Kimi K3

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 Prime
Input
$2.80
1.1× cheaper
Output
$8.80
1.7× cheaper
Kimi K3
Input
$3.00
Output
$15.00

GLM 5.3 Prime is cheaper on both: 1.1× input, 1.7× output.

Where to run it

18 hosts, cheapest first

GLM 5.3 Prime1 host
HostInOutContextUptime
Alibaba Cloud$2.80 in·$8.80 out·1M·99.9% up
Kimi K317 hosts
HostInOutContextUptime
SSail Researchfp4$0.88 in·$10.53 out·1M·99.3% upIInferenceNetfp4$1.30 in·$11.40 out·1M·99.8% upWWafer$1.99 in·$15.00 out·1M·98.8% upMMakora$2.04 in·$12.75 out·1M·98.1% upPPhala$2.10 in·$10.50 out·1M·99% upRRelacefp4$2.10 in·$10.50 out·1M·98.1% up
11 more hostsFewer hosts
MMorph$2.50 in·$14.00 out·1M·99.6% upDDigitalOcean$2.55 in·$12.95 out·1M·98.7% upDDeepInfrabf16$2.85 in·$14.25 out·1M·96.6% upBBasetenfp8$3.00 in·$15.00 out·1M·98.8% upCChutesmxfp4$3.00 in·$15.00 out·1M·95.9% upFFireworks$3.00 in·$15.00 out·1M·99.9% upModalmxfp4$3.00 in·$15.00 out·1M·99.8% upMoonshot AImxfp4$3.00 in·$15.00 out·1M·99.9% upPParasailfp4$3.00 in·$15.00 out·1M·98.9% upTTogether$3.00 in·$15.00 out·1M·99.2% upAlibaba Cloud$3.45 in·$17.25 out·1M·99.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 Prime is developed by Z.ai while Kimi K3 is developed by Moonshot AI. GLM 5.3 Prime has a 1.0M token context window vs Kimi K3's 1.0M. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.3 Prime and Kimi K3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 16 challenges so you can judge which fits your needs best.

GLM 5.3 Prime costs $2.8/M input tokens and Kimi K3 costs $3/M input tokens. GLM 5.3 Prime is $0.20/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 Prime and Kimi K3 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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