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GPT-6.1 Sol vs LFM2.5-VL-3B

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 2.7.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.6 to 2.7, ranking #7 overall.

In the 1 individual benchmarks reported for both models, GPT-6.1 Sol wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.6 and ranks #7 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose LFM2.5-VL-3B

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

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
LFM2.5-VL-3B
Liquid AI
Core performance indexes
LLM Stats Score
53.6
#7
2.7
#335
Reasoning
51.6
#8
-2.7
#356
Agents
37.9
#13
-5.2
#208
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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
LFM2.5-VL-3B
Vision
35.8#11
1.1#196
Multimodal
35.5#11
2.9#162
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 23 for LFM2.5-VL-3B

1 shared

GPT-6.1 Sol outperforms in 1 benchmarks (MMMU-Pro), while LFM2.5-VL-3B is better at 0 benchmarks.

GPT-6.1 Sol significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

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
LFM2.5-VL-3B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and LFM2.5-VL-3B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6.1 Sol

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol is licensed under a proprietary license, while LFM2.5-VL-3B 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

LFM2.5-VL-3B

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 LFM2.5-VL-3B was released on 2026-08-12.

GPT-6.1 Sol is 2 months newer than LFM2.5-VL-3B.

GPT-6.1 Sol

Sep 29, 2026

2 weeks ago

1mo newer
LFM2.5-VL-3B

Aug 12, 2026

2 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while LFM2.5-VL-3B'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 LFM2.5-VL-3B's cutoff date.

GPT-6.1 Sol

Apr 2026

LFM2.5-VL-3B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs LFM2.5-VL-3B.

Which is better, GPT-6.1 Sol or LFM2.5-VL-3B?

GPT-6.1 Sol leads the LLM Stats Score 53.6 to 2.7. GPT-6.1 Sol is made by OpenAI and LFM2.5-VL-3B 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 LFM2.5-VL-3B 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%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the context window sizes for GPT-6.1 Sol and LFM2.5-VL-3B?

GPT-6.1 Sol supports 1.1M tokens and LFM2.5-VL-3B 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 LFM2.5-VL-3B?

Key differences include LLM Stats Score (53.6 vs 2.7), 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 LFM2.5-VL-3B?

GPT-6.1 Sol is developed by OpenAI and LFM2.5-VL-3B is developed by Liquid AI.

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