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GLM-5V-Turbo vs LFM2.5-VL-3B

GLM-5V-Turbo significantly outperforms across most benchmarks.

Zhipu AI · Liquid AI · Updated for 2026

Which is better?

GLM-5V-Turbo outperforms in 1 benchmarks (SimpleVQA), while LFM2.5-VL-3B is better at 0 benchmarks. GLM-5V-Turbo significantly outperforms across most benchmarks.

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

Choose GLM-5V-Turbo

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5V-Turbo
Zhipu AI
LFM2.5-VL-3B
Liquid AI
Benchmark wins
1 of 1
0 of 1
Input price
$1.20 / M
— / M
Output price
$4.00 / M
— / M
Context window
200,000
—
Released
Apr 2026
Aug 2026
License
Proprietary
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5V-Turbo outperforms in 1 benchmarks (SimpleVQA), while LFM2.5-VL-3B is better at 0 benchmarks.

GLM-5V-Turbo significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GLM-5V-Turbo specifies input context (200,000 tokens). Only GLM-5V-Turbo specifies output context (128,000 tokens).

Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-5V-Turbo and LFM2.5-VL-3B support multimodal inputs.

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

GLM-5V-Turbo

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5V-Turbo is licensed under a proprietary license, 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-5V-Turbo

Proprietary

Closed source

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GLM-5V-Turbo was released on 2026-04-02, while LFM2.5-VL-3B was released on 2026-08-12.

LFM2.5-VL-3B is 4 months newer than GLM-5V-Turbo.

GLM-5V-Turbo

Apr 2, 2026

4 months ago

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

4mo newer

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-5V-Turbo and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

GLM-5V-Turbo
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about GLM-5V-Turbo vs LFM2.5-VL-3B.

Which is better, GLM-5V-Turbo or LFM2.5-VL-3B?

GLM-5V-Turbo significantly outperforms across most benchmarks. GLM-5V-Turbo is made by Zhipu AI and LFM2.5-VL-3B is made by Liquid AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5V-Turbo compare to LFM2.5-VL-3B in benchmarks?

GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%. 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-5V-Turbo and LFM2.5-VL-3B?

GLM-5V-Turbo supports 200K 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-5V-Turbo and LFM2.5-VL-3B?

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

Who makes GLM-5V-Turbo and LFM2.5-VL-3B?

GLM-5V-Turbo is developed by Zhipu AI and LFM2.5-VL-3B is developed by Liquid AI.

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