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GLM-5.3-Flash vs GPT-3.5 Turbo

Comparing GLM-5.3-Flash and GPT-3.5 Turbo across benchmarks, pricing, and capabilities.

Zhipu AI · OpenAI · Updated for 2026

Which is better?

GLM-5.3-Flash and GPT-3.5 Turbo trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-5.3-Flash is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3-Flash

  • cost matters — it's about 3.2x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.15 / M
$0.50 / M
Output price
$0.50 / M
$1.50 / M
Context window
1,000,000
16,385
Released
Aug 2026
Mar 2023
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and GPT-3.5 Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 3.3x cheaper than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 3.0x cheaper than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than GLM-5.3-Flash.*

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerUnknown Organization
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-5.3-Flash accepts 1,000,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas GPT-3.5 Turbo does not.

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

GLM-5.3-Flash

Text
Images
Audio
Video

GPT-3.5 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while GPT-3.5 Turbo was released on 2023-03-21.

GLM-5.3-Flash is 42 months newer than GPT-3.5 Turbo.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

3.4yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.4 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while GLM-5.3-Flash'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-5.3-Flash's cutoff date.

GLM-5.3-Flash

GPT-3.5 Turbo

Sep 2021

Provider Availability

GLM-5.3-Flash is available from ZAI. GPT-3.5 Turbo is available from Azure, OpenAI.

GLM-5.3-Flash

z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

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

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs GPT-3.5 Turbo.

Which is better, GLM-5.3-Flash or GPT-3.5 Turbo?

GLM-5.3-Flash (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-5.3-Flash compare to GPT-3.5 Turbo in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

Is GLM-5.3-Flash cheaper than GPT-3.5 Turbo?

GLM-5.3-Flash is 3.3x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via z. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.

What are the context window sizes for GLM-5.3-Flash and GPT-3.5 Turbo?

GLM-5.3-Flash supports 1.0M 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-5.3-Flash and GPT-3.5 Turbo?

Key differences include context window (1.0M vs 16K), input pricing ($0.15 vs $0.50/M), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and GPT-3.5 Turbo?

GLM-5.3-Flash is developed by Zhipu AI and GPT-3.5 Turbo is developed by OpenAI.