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GLM-5.3-Flash vs Phi-3.5-vision-instruct

Comparing GLM-5.3-Flash and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.

Zhipu AI · Microsoft · Updated for 2026

Which is better?

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

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

Choose GLM-5.3-Flash

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

Choose Phi-3.5-vision-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Phi-3.5-vision-instruct
Microsoft
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Aug 2024
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and Phi-3.5-vision-instructdon'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

Model Size

Parameter count comparison

315.8B diff

GLM-5.3-Flash has 315.8B more parameters than Phi-3.5-vision-instruct, making it 7519.0% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
320.0B
GLM-5.3-Flash
4.2B
Phi-3.5-vision-instruct

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,048,576 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-5.3-Flash and Phi-3.5-vision-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5.3-Flash

MIT

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Phi-3.5-vision-instruct was released on 2024-08-23.

GLM-5.3-Flash is 24 months newer than Phi-3.5-vision-instruct.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

2.0yr newer
Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

GLM-5.3-Flash
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Phi-3.5-vision-instruct.

Which is better, GLM-5.3-Flash or Phi-3.5-vision-instruct?

GLM-5.3-Flash (Zhipu AI) and Phi-3.5-vision-instruct (Microsoft) 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 Phi-3.5-vision-instruct in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for GLM-5.3-Flash and Phi-3.5-vision-instruct?

GLM-5.3-Flash supports 1.0M tokens and Phi-3.5-vision-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes GLM-5.3-Flash and Phi-3.5-vision-instruct?

GLM-5.3-Flash is developed by Zhipu AI and Phi-3.5-vision-instruct is developed by Microsoft.

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