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GPT-5.6 Sol vs LFM3-VL-2B

GPT-5.6 Sol leads the LLM Stats Score 52.7 to 15.5.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5.6 Sol leads the overall LLM Stats Score 52.7 to 15.5, ranking #13 overall.

In the 1 individual benchmarks reported for both models, GPT-5.6 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-5.6 Sol

  • overall performance matters — it scores 52.7 and ranks #13 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose LFM3-VL-2B

  • 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-5.6 Sol
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
52.7
#13
15.5
#265
Reasoning
51.5
#9
16.2
#252
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$5.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-5.6 Sol
LFM3-VL-2B
Math
33.9#56
19.0#187
Vision
33.9#20
11.4#133
Multimodal
33.9#20
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

46 reported for GPT-5.6 Sol · 41 for LFM3-VL-2B

1 shared

GPT-5.6 Sol outperforms in 1 benchmarks (MMMU-Pro), while LFM3-VL-2B is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Fri Nov 06 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-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.6 Sol and LFM3-VL-2B support multimodal inputs.

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

GPT-5.6 Sol

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while LFM3-VL-2B uses LFM Open License v1.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.6 Sol

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 4 months newer than GPT-5.6 Sol.

GPT-5.6 Sol

Jul 9, 2026

4 months ago

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while LFM3-VL-2B's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

GPT-5.6 Sol

Feb 2026

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-5.6 Sol vs LFM3-VL-2B.

Which is better, GPT-5.6 Sol or LFM3-VL-2B?

GPT-5.6 Sol leads the LLM Stats Score 52.7 to 15.5. GPT-5.6 Sol is made by OpenAI and LFM3-VL-2B 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-5.6 Sol compare to LFM3-VL-2B in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for GPT-5.6 Sol and LFM3-VL-2B?

GPT-5.6 Sol supports 1.1M tokens and LFM3-VL-2B 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-5.6 Sol and LFM3-VL-2B?

Key differences include LLM Stats Score (52.7 vs 15.5), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and LFM3-VL-2B?

GPT-5.6 Sol is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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