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GPT-6 Cyber vs LFM3-1.7B

GPT-6 Cyber leads the LLM Stats Score 41.0 to 24.9.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to 24.9, ranking #77 overall.

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

Choose GPT-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #77 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

Choose LFM3-1.7B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Cyber
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
41.0
#77
24.9
#193
Coding
33.5
#49
7.3
#220
Agents
31.3
#46
17.9
#99
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
— / M
Output price
$100.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

1 reported for GPT-6 Cyber · 20 for LFM3-1.7B

No common benchmarks found

GPT-6 Cyber 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 GPT-6 Cyber specifies input context (1,050,000 tokens). Only GPT-6 Cyber specifies output context (128,000 tokens).

OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Sun Nov 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Cyber supports multimodal inputs, whereas LFM3-1.7B does not.

GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Cyber

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber 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.

GPT-6 Cyber

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Cyber was released on 2026-11-05, while LFM3-1.7B was released on 2026-10-27.

GPT-6 Cyber is 0 month newer than LFM3-1.7B.

GPT-6 Cyber

Nov 5, 2026

3 days ago

1w newer
LFM3-1.7B

Oct 27, 2026

1 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?

Judge for yourself.

Run your own prompts against GPT-6 Cyber and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs LFM3-1.7B.

Which is better, GPT-6 Cyber or LFM3-1.7B?

GPT-6 Cyber leads the LLM Stats Score 41.0 to 24.9. GPT-6 Cyber is made by OpenAI 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 GPT-6 Cyber compare to LFM3-1.7B in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. 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 GPT-6 Cyber and LFM3-1.7B?

GPT-6 Cyber supports 1.1M 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 GPT-6 Cyber and LFM3-1.7B?

Key differences include LLM Stats Score (41.0 vs 24.9), 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 GPT-6 Cyber and LFM3-1.7B?

GPT-6 Cyber is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.

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