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GPT-4 Turbo vs LFM3-VL-2B

GPT-4 Turbo and LFM3-VL-2B are closely matched at 8.7 and 15.5 on the LLM Stats Score.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-4 Turbo and LFM3-VL-2B are closely matched on the overall LLM Stats Score at 8.7 and 15.5.

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

Choose GPT-4 Turbo

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose LFM3-VL-2B

  • your work emphasizes reasoning — it leads those capability indexes
  • 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-4 Turbo
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
8.7
#309
15.5
#265
Reasoning
8.7
#304
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4 Turbo
LFM3-VL-2B
Math
17.2#213
19.0#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 41 for LFM3-VL-2B

No common benchmarks found

GPT-4 Turbo and LFM3-VL-2Bdon'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-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas GPT-4 Turbo does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 31 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.6 years ago

LFM3-VL-2B

Oct 27, 2026

5 days ago

2.6yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while LFM3-VL-2B's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.

GPT-4 Turbo

Dec 2023

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4 Turbo and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs LFM3-VL-2B.

Which is better, GPT-4 Turbo or LFM3-VL-2B?

GPT-4 Turbo and LFM3-VL-2B are closely matched on the LLM Stats Score at 8.7 and 15.5. GPT-4 Turbo 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-4 Turbo compare to LFM3-VL-2B in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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-4 Turbo and LFM3-VL-2B?

GPT-4 Turbo supports 128K 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-4 Turbo and LFM3-VL-2B?

Key differences include LLM Stats Score (8.7 vs 15.5), multimodal support (no vs yes), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and LFM3-VL-2B?

GPT-4 Turbo is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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