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  5. DeepSeek R1 0528vsGLM 5.3 Prime
Updated Sep 2026

DeepSeek R1 0528vsGLM 5.3 Prime

DeepSeek R1 0528 is cheaper than GLM 5.3 Prime at $0/M vs $2.8/M input tokens.

DeepSeek R1 0528 and GLM 5.3 Prime compared across 16 shared prompts
SpecDeepSeek R1 0528GLM 5.3 Prime
Input priceFree$2.8/M tokens
Output priceFree$8.8/M tokens
Context window164K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedMay 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 4 of the 16 prompts both answered. Formatting stripped, words untouched.

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…

DeepSeek R1 0528478 words
Here's a concrete, hour-by-hour action plan prioritizing patient safety, legal compliance, and long-term stakeholder trust, while managing immediate financial and reputational risks: Core Principle: Patient safety and regulatory compliance are non-negotiable.
Read the full answer
GLM 5.3 Prime1,847 words
48-Hour Action Plan First, the governing principle One number matters more than all others: 4 million patients × 1/8,000 = ~500 patients at risk of liver failure over 5 years — some may already be experiencing it right now. Every decision below flows from this.
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…

DeepSeek R1 0528848 words
Here's how to explain LLM learning and generation to each audience, tailored to their perspective: For the Experienced Software Engineer (Skeptical about "Next Word Prediction") Focus: Systems analogy, emergent complexity, pattern recognition as understanding.
Read the full answer
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.
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…

DeepSeek R1 05281,345 words
Here’s an analysis of exploitable clauses, proposed modifications, and legal reasoning: Red Flag Clauses & Exploitation Risks: Scope (Clause 1): Exploitation: "Modify scope at any time without additional compensation" allows unlimited scope creep. Client could demand vastly more work without paying extra.
Read the full answer
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.
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.…

DeepSeek R1 0528657 words
Here are the 3 weakest claims in the MindMeld AI pitch deck, why they are weak, and how to strengthen them: Weak Claim (Slide 3): "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device."
Read the full answer
GLM 5.3 Prime618 words
3 Weakest Claims in the MindMeld AI Pitch The 94% Accuracy Claim (Slide 3) Why it's weak: This number is almost certainly misleading or fabricated. Non-invasive EEG is a notoriously low-bandwidth, noisy signal.
Read the full answer
Our Verdict
DeepSeek R1 0528
DeepSeek R1 0528
GLM 5.3 Prime
GLM 5.3 Prime

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

Too close to call
API pricing

Cost per 1M tokens

DeepSeek R1 0528
Input
$0.000
Output
$0.000
GLM 5.3 Prime
Input
$2.80
Output
$8.80
Where to run it

5 hosts, cheapest first

DeepSeek R1 05284 hosts
HostInOutContextUptime
DDeepInfrafp4$0.50 in·$2.15 out·164k·100% upSSiliconFlowfp8$0.50 in·$2.18 out·164k·99.9% upSStreamLake$0.57 in·$2.29 out·128k·99.2% upNNovitafp8$0.70 in·$2.50 out·164k·98.5% up
GLM 5.3 Prime1 host
HostInOutContextUptime
Alibaba Cloud$2.80 in·$8.80 out·1M·99.4% up

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

Research

What we learned reading every model

FAQ

Common questions

DeepSeek R1 0528 is developed by DeepSeek while GLM 5.3 Prime is developed by Z.ai. DeepSeek R1 0528 has a 164K token context window vs GLM 5.3 Prime'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. DeepSeek R1 0528 and GLM 5.3 Prime 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.

DeepSeek R1 0528 costs $0/M input tokens and GLM 5.3 Prime costs $2.8/M input tokens. DeepSeek R1 0528 is $2.80/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 DeepSeek R1 0528 and GLM 5.3 Prime 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

DeepSeek R1 0528 logo
DeepSeek R1 052858 outputs, specs and price
GLM 5.3 Prime logo
GLM 5.3 Prime16 outputs, specs and price
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