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GLM-5.3-FlashX-Legal vs LFM3-1.7B

GLM-5.3-FlashX-Legal leads the LLM Stats Score 41.5 to 25.0.

Zhipu AI · Liquid AI · Updated for 2026

Which is better?

GLM-5.3-FlashX-Legal leads the overall LLM Stats Score 41.5 to 25.0, ranking #73 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5.3-FlashX-Legal

  • overall performance matters — it scores 41.5 and ranks #73 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes

Choose LFM3-1.7B

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

At a glance

The differences that matter most.

GLM-5.3-FlashX-Legal
Zhipu AI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
41.5
#73
25.0
#191
Reasoning
41.1
#67
20.8
#216
Agents
30.9
#47
18.1
#97
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.37 / M
— / M
Output price
$1.25 / M
— / M
Context window
1,000,000
—

Individual benchmarks

1 reported for GLM-5.3-FlashX-Legal · 20 for LFM3-1.7B

No common benchmarks found

GLM-5.3-FlashX-Legal and LFM3-1.7Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5.3-FlashX-Legal
Input1,000,000 tokens
Output131,072 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-5.3-FlashX-Legal supports multimodal inputs, whereas LFM3-1.7B does not.

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

GLM-5.3-FlashX-Legal

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-FlashX-Legal is licensed under a proprietary license, while LFM3-1.7B 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-FlashX-Legal

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-FlashX-Legal was released on 2026-10-12, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 1 month newer than GLM-5.3-FlashX-Legal.

GLM-5.3-FlashX-Legal

Oct 12, 2026

3 weeks ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

2w 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?

Judge for yourself.

Run your own prompts against GLM-5.3-FlashX-Legal and LFM3-1.7B side-by-side, then vote on the output you prefer.

GLM-5.3-FlashX-Legal
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GLM-5.3-FlashX-Legal vs LFM3-1.7B.

Which is better, GLM-5.3-FlashX-Legal or LFM3-1.7B?

GLM-5.3-FlashX-Legal leads the LLM Stats Score 41.5 to 25.0. GLM-5.3-FlashX-Legal is made by Zhipu AI and LFM3-1.7B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3-FlashX-Legal compare to LFM3-1.7B in benchmarks?

GLM-5.3-FlashX-Legal scores Legal Agent Benchmark: 19.2%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for GLM-5.3-FlashX-Legal and LFM3-1.7B?

GLM-5.3-FlashX-Legal supports 1.0M tokens and LFM3-1.7B 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-FlashX-Legal and LFM3-1.7B?

Key differences include LLM Stats Score (41.5 vs 25.0), multimodal support (yes vs no), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-FlashX-Legal and LFM3-1.7B?

GLM-5.3-FlashX-Legal is developed by Zhipu AI and LFM3-1.7B is developed by Liquid AI.

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