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GPT-6.1 Sol vs LFM3-1.7B

GPT-6.1 Sol leads the LLM Stats Score 53.4 to 25.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.4 to 25.0, ranking #9 overall.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.4 and ranks #9 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 Sol
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
53.4
#9
25.0
#191
Reasoning
50.7
#10
20.8
#216
Coding
39.6
#19
7.4
#218
Agents
38.1
#17
18.1
#97
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6.1 Sol
LFM3-1.7B
Math
34.8#50
7.6#285
Tool use
23.4#51
14.3#119
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for GPT-6.1 Sol · 20 for LFM3-1.7B

No common benchmarks found

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

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 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

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

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

GPT-6.1 Sol

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol 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 Sol

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 1 month newer than GPT-6.1 Sol.

GPT-6.1 Sol

Sep 29, 2026

1 months ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

4w newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-6.1 Sol

Apr 2026

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

GPT-6.1 Sol leads the LLM Stats Score 53.4 to 25.0. GPT-6.1 Sol 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 Sol compare to LFM3-1.7B in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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 Sol and LFM3-1.7B?

GPT-6.1 Sol 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 Sol and LFM3-1.7B?

Key differences include LLM Stats Score (53.4 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 Sol and LFM3-1.7B?

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

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