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GPT-6.1 Terra vs LFM3-1.7B

GPT-6.1 Terra leads the LLM Stats Score 47.6 to 25.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6.1 Terra leads the overall LLM Stats Score 47.6 to 25.0, ranking #37 overall.

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

Choose GPT-6.1 Terra

  • overall performance matters — it scores 47.6 and ranks #37 on LLM Stats
  • your work emphasizes reasoning and coding — 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.

GPT-6.1 Terra
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
47.6
#37
25.0
#192
Reasoning
49.1
#18
20.8
#216
Coding
37.3
#30
7.4
#218
Agents
38.7
#11
18.1
#97
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6.1 Terra
LFM3-1.7B
Tool use
33.3#5
14.3#119
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-6.1 Terra · 20 for LFM3-1.7B

No common benchmarks found

GPT-6.1 Terra 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-6.1 Terra specifies input context (1,050,000 tokens). Only GPT-6.1 Terra specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6.1 Terra supports multimodal inputs, whereas LFM3-1.7B does not.

GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Terra

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Terra 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-6.1 Terra

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Terra was released on 2026-10-26, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 0 month newer than GPT-6.1 Terra.

GPT-6.1 Terra

Oct 26, 2026

5 days ago

LFM3-1.7B

Oct 27, 2026

4 days ago

1d newer

Knowledge Cutoff

When training data ends

GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-6.1 Terra

Jun 2026

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Terra and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-6.1 Terra
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-6.1 Terra vs LFM3-1.7B.

Which is better, GPT-6.1 Terra or LFM3-1.7B?

GPT-6.1 Terra leads the LLM Stats Score 47.6 to 25.0. GPT-6.1 Terra 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-6.1 Terra compare to LFM3-1.7B in benchmarks?

GPT-6.1 Terra scores HealthBench Consensus: 95.1%, HealthBench Professional: 62.7%, Agents' Last Exam: 60.0%, Terminal-Bench-Science 0.1: 58.3%, MentalHealthBench: 55.5%. 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-6.1 Terra and LFM3-1.7B?

GPT-6.1 Terra 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-6.1 Terra and LFM3-1.7B?

Key differences include LLM Stats Score (47.6 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 GPT-6.1 Terra and LFM3-1.7B?

GPT-6.1 Terra is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.

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