Model Comparison

GLM-5 vs GPT-5.3 ChatWhich is better in 2026?

Comparing GLM-5 and GPT-5.3 Chat across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs GPT-5.3 Chat — which is better?

GLM-5 (by Zhipu AI) and GPT-5.3 Chat (by OpenAI) 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.

On price, GLM-5 is roughly 3.1x 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 GLM-5 if…

  • cost matters — it's about 3.1x cheaper per token
  • you process long inputs — it offers a 200,000 token context window
  • you need open weights you can self-host or fine-tune

Choose GPT-5.3 Chat if…

  • you want the most recent training data — it shipped Mar 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and GPT-5.3 Chatdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.8x cheaper than GPT-5.3 Chat ($1.75/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 4.4x cheaper than GPT-5.3 Chat ($14.00/1M tokens).

In conclusion, GPT-5.3 Chat is more expensive than GLM-5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
OpenAI
GPT-5.3 Chat
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to GPT-5.3 Chat's 128,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while GPT-5.3 Chat is limited to 16,384 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
OpenAI
GPT-5.3 Chat
Input128,000 tokens
Output16,384 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.3 Chat supports multimodal inputs, whereas GLM-5 does not.

GPT-5.3 Chat can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

GPT-5.3 Chat

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GPT-5.3 Chat uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

GPT-5.3 Chat

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GPT-5.3 Chat was released on 2026-03-04.

GPT-5.3 Chat is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

5 months ago

GPT-5.3 Chat

Mar 4, 2026

4 months ago

3w newer

Knowledge Cutoff

When training data ends

GPT-5.3 Chat has a documented knowledge cutoff of 2025-08-31, while GLM-5's cutoff date is not specified.

We can confirm GPT-5.3 Chat's training data extends to 2025-08-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

GPT-5.3 Chat

Aug 2025

Provider Availability

GLM-5 is available from FriendliAI, ZAI. GPT-5.3 Chat is available from OpenAI.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

GPT-5.3 Chat

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and GPT-5.3 Chat side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
GPT-5.3 Chat
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
GPT-5.3 Chat

FAQ

Common questions about GLM-5 vs GPT-5.3 Chat.

Which is better, GLM-5 or GPT-5.3 Chat?

GLM-5 (Zhipu AI) and GPT-5.3 Chat (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to GPT-5.3 Chat in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. GPT-5.3 Chat scores HealthBench: 54.1%, HealthBench Hard: 25.9%.

Is GLM-5 cheaper than GPT-5.3 Chat?

GLM-5 is 1.8x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GPT-5.3 Chat costs $1.75/M input and $14.00/M output via openai.

What are the context window sizes for GLM-5 and GPT-5.3 Chat?

GLM-5 supports 200K tokens and GPT-5.3 Chat supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and GPT-5.3 Chat?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $1.75/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and GPT-5.3 Chat?

GLM-5 is developed by Zhipu AI and GPT-5.3 Chat is developed by OpenAI.

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