Model Comparison

GLM-5 vs GPT-3.5 TurboWhich is better in 2026?

Comparing GLM-5 and GPT-3.5 Turbo across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs GPT-3.5 Turbo — which is better?

GLM-5 (by Zhipu AI) and GPT-3.5 Turbo (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, GPT-3.5 Turbo is roughly 2.1x 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…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo if…

  • cost matters — it's about 2.1x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and GPT-3.5 Turbo don'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

GPT-3.5 Turbo costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.0x more expensive than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.1x more expensive than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, GLM-5 is more expensive than GPT-3.5 Turbo.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
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-3.5 Turbo's 16,385 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while GPT-3.5 Turbo 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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GPT-3.5 Turbo was released on 2023-03-21.

GLM-5 is 35 months newer than GPT-3.5 Turbo.

GLM-5

Feb 11, 2026

3 months ago

2.9yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.2 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while GLM-5's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

GPT-3.5 Turbo

Sep 2021

Provider Availability

GLM-5 is available from FriendliAI, ZAI. GPT-3.5 Turbo is available from Azure, 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-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* 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)
Has open weights
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about GLM-5 vs GPT-3.5 Turbo.

Which is better, GLM-5 or GPT-3.5 Turbo?

GLM-5 (Zhipu AI) and GPT-3.5 Turbo (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-3.5 Turbo 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-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

Is GLM-5 cheaper than GPT-3.5 Turbo?

GPT-3.5 Turbo is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.

What are the context window sizes for GLM-5 and GPT-3.5 Turbo?

GLM-5 supports 200K tokens and GPT-3.5 Turbo supports 16K 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-3.5 Turbo?

Key differences include context window (200K vs 16K), input pricing ($1.00 vs $0.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and GPT-3.5 Turbo?

GLM-5 is developed by Zhipu AI and GPT-3.5 Turbo is developed by OpenAI.

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