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GLM-5.3-Flash vs LFM2.5-VL-3B

Comparing GLM-5.3-Flash and LFM2.5-VL-3B across benchmarks, pricing, and capabilities.

Zhipu AI · Liquid AI · Updated for 2026

Which is better?

GLM-5.3-Flash and LFM2.5-VL-3B 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 LFM2.5-VL-3B

  • you are already invested in the Liquid AI ecosystem

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
LFM2.5-VL-3B
Liquid AI
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Aug 2026
License
MIT
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and LFM2.5-VL-3Bdon'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

316.9B diff

GLM-5.3-Flash has 316.9B more parameters than LFM2.5-VL-3B, making it 10145.0% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Liquid AI
LFM2.5-VL-3B
3.1Bparameters
320.0B
GLM-5.3-Flash
3.1B
LFM2.5-VL-3B

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,000,000 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-5.3-Flash and LFM2.5-VL-3B 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

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash is licensed under MIT, while LFM2.5-VL-3B uses LFM Open License v1.0.

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

GLM-5.3-Flash

MIT

Open weights

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while LFM2.5-VL-3B was released on 2026-08-12.

GLM-5.3-Flash is 0 month newer than LFM2.5-VL-3B.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

2w newer
LFM2.5-VL-3B

Aug 12, 2026

2 weeks 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 LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs LFM2.5-VL-3B.

Which is better, GLM-5.3-Flash or LFM2.5-VL-3B?

GLM-5.3-Flash (Zhipu AI) and LFM2.5-VL-3B (Liquid AI) 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 LFM2.5-VL-3B 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%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the context window sizes for GLM-5.3-Flash and LFM2.5-VL-3B?

GLM-5.3-Flash supports 1.0M tokens and LFM2.5-VL-3B supports an unknown number of 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 LFM2.5-VL-3B?

Key differences include licensing (MIT vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and LFM2.5-VL-3B?

GLM-5.3-Flash is developed by Zhipu AI and LFM2.5-VL-3B is developed by Liquid AI.

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