Model Comparison
DeepSeek-R1-0528 vs GLM-5Which is better in 2026?
GLM-5 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is 1.7x cheaper per token.
Verdict: DeepSeek-R1-0528 vs GLM-5 — which is better?
DeepSeek-R1-0528 (by DeepSeek) and GLM-5 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-R1-0528 outperforms in 0 benchmarks, while GLM-5 is better at 2 benchmarks (BrowseComp, SWE-Bench Verified). GLM-5 significantly outperforms across most benchmarks.
On price, DeepSeek-R1-0528 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-R1-0528 if…
- cost matters — it's about 1.7x cheaper per token
Choose GLM-5 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2026
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1-0528 outperforms in 0 benchmarks, while GLM-5 is better at 2 benchmarks (BrowseComp, SWE-Bench Verified).
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 2.0x cheaper than GLM-5 ($1.00/1M tokens).
For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 1.5x cheaper than GLM-5 ($3.20/1M tokens).
In conclusion, GLM-5 is more expensive than DeepSeek-R1-0528.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 73.0B more parameters than DeepSeek-R1-0528, making it 10.9% larger.
Context Window
Maximum input and output token capacity
GLM-5 accepts 200,000 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while GLM-5 is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while GLM-5 was released on 2026-02-11.
GLM-5 is 9 months newer than DeepSeek-R1-0528.
May 28, 2025
1.1 years ago
Feb 11, 2026
5 months ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. GLM-5 is available from FriendliAI, ZAI.
DeepSeek-R1-0528
GLM-5
Outputs Comparison
Key Takeaways
DeepSeek-R1-0528
View detailsDeepSeek
GLM-5
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-R1-0528 and GLM-5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-R1-0528 vs GLM-5.