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GPT-6 Sol vs LFM3-1.7B

GPT-6 Sol leads the LLM Stats Score 47.5 to 25.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 47.5 to 25.0, ranking #38 overall.

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

Choose GPT-6 Sol

  • overall performance matters — it scores 47.5 and ranks #38 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 Sol
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
47.5
#38
25.0
#191
Reasoning
44.2
#50
20.8
#216
Coding
34.0
#44
7.4
#218
Agents
35.0
#29
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

1 shared
Index
GPT-6 Sol
LFM3-1.7B
Tool use
26.0#39
14.3#118
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Sol · 20 for LFM3-1.7B

No common benchmarks found

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

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

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

GPT-6 Sol

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 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 Sol

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 1 month newer than GPT-6 Sol.

GPT-6 Sol

Sep 22, 2026

1 months ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-6 Sol

Apr 2026

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

GPT-6 Sol leads the LLM Stats Score 47.5 to 25.0. GPT-6 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 Sol compare to LFM3-1.7B in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. 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 GPT-6 Sol and LFM3-1.7B?

GPT-6 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 Sol and LFM3-1.7B?

Key differences include LLM Stats Score (47.5 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 GPT-6 Sol and LFM3-1.7B?

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

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