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GPT-6 Sol vs LFM2.5-2.6B

GPT-6 Sol leads the LLM Stats Score 47.8 to 18.4.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 47.8 to 18.4, ranking #33 overall.

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

Choose GPT-6 Sol

  • overall performance matters — it scores 47.8 and ranks #33 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose LFM2.5-2.6B

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

At a glance

The differences that matter most.

GPT-6 Sol
OpenAI
LFM2.5-2.6B
Liquid AI
Core performance indexes
LLM Stats Score
47.8
#33
18.4
#234
Reasoning
45.3
#40
14.1
#255
Coding
33.0
#45
16.0
#148
Agents
34.9
#25
6.7
#162
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
LFM2.5-2.6B
Tool use
26.2#34
0.3#197
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Sol · 9 for LFM2.5-2.6B

No common benchmarks found

GPT-6 Sol and LFM2.5-2.6Bdon'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
LFM2.5-2.6B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Sol supports multimodal inputs, whereas LFM2.5-2.6B 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

LFM2.5-2.6B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Sol is licensed under a proprietary license, while LFM2.5-2.6B 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

LFM2.5-2.6B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while LFM2.5-2.6B was released on 2026-08-04.

GPT-6 Sol is 2 months newer than LFM2.5-2.6B.

GPT-6 Sol

Sep 22, 2026

4 weeks ago

1mo newer
LFM2.5-2.6B

Aug 4, 2026

2 months ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while LFM2.5-2.6B'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 LFM2.5-2.6B's cutoff date.

GPT-6 Sol

Apr 2026

LFM2.5-2.6B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Sol and LFM2.5-2.6B side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
LFM2.5-2.6B
Open in Playground

FAQ

Common questions about GPT-6 Sol vs LFM2.5-2.6B.

Which is better, GPT-6 Sol or LFM2.5-2.6B?

GPT-6 Sol leads the LLM Stats Score 47.8 to 18.4. GPT-6 Sol is made by OpenAI and LFM2.5-2.6B 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 LFM2.5-2.6B 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%. LFM2.5-2.6B scores Multi-IF: 80.1%, PinchBench: 68.2%, Claw-Eval: 62.8%, LiveCodeBench v6: 59.4%, IFBench: 59.2%.

What are the context window sizes for GPT-6 Sol and LFM2.5-2.6B?

GPT-6 Sol supports 1.1M tokens and LFM2.5-2.6B 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 LFM2.5-2.6B?

Key differences include LLM Stats Score (47.8 vs 18.4), 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 LFM2.5-2.6B?

GPT-6 Sol is developed by OpenAI and LFM2.5-2.6B is developed by Liquid AI.

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