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  5. GLM 5.3 Primevso1
Updated Sep 2026

GLM 5.3 Primevso1

GLM 5.3 Prime is cheaper than o1 at $2.8/M vs $15/M input tokens.

GLM 5.3 Prime and o1 compared across 16 shared prompts
SpecGLM 5.3 Primeo1
Input price$2.8/M tokens$15/M tokens
Output price$8.8/M tokens$60/M tokens
Context window1.0M tokens128K tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedSep 2026Dec 2024
Side by side

Same prompt, both answers

Opening lines from 2 of the 16 prompts both answered. Formatting stripped, words untouched.

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 = $808.8m (~55% of cap) Annual Model…
Read the full answer
o11,012 words
Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.
Read the full answer

Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GLM 5.3 Prime1,086 words
IC Memo: LedgerLift (LLLT) — B2B Spend Management SaaS Analyst: L/S Equity Fund Date: Internal draft Fictional exercise — not investment advice Recommendation SHORT. 12-month price target range: $32–$40 (current: $46).
Read the full answer
o1820 words
RECOMMENDATION, PRICE TARGET, THESIS Recommendation: SHORT LedgerLift (LLLT). 12-month Price Target Range: $25–$35 (implying 25–45% downside). Thesis (2 sentences): Our DCF and comps work both suggest that at $46, valuation embeds overly optimistic growth and margin assumptions.
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Our Verdict
GLM 5.3 Prime
GLM 5.3 Prime
o1
o1Runner-up

Not enough votes to call it. On the specs, GLM 5.3 Prime has the edge: bigger model tier, newer, bigger context window.

GLM 5.3 Prime costs 6.8x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 5.3 Prime
Input
$2.80
5.4× cheaper
Output
$8.80
6.8× cheaper
o1
Input
$15.00
Output
$60.00

GLM 5.3 Prime is cheaper on both: 5.4× input, 6.8× output.

Where to run it

2 hosts

GLM 5.3 Prime1 host
HostInOutContextUptime
Alibaba Cloud$2.80 in·$8.80 out·1M·99.9% up
o11 host
HostInOutContextUptime
OpenAI$15.00 in·$60.00 out·200k·100% 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 o1 is developed by OpenAI. GLM 5.3 Prime has a 1.0M token context window vs o1's 128K. 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 o1 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 o1 costs $15/M input tokens. GLM 5.3 Prime is $12.20/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 o1 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

GLM 5.3 Prime logo
GLM 5.3 Prime16 outputs, specs and price
o1 logo
o159 outputs, specs and price
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