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GPT OSS 120B vs LFM3-VL-2B

GPT OSS 120B leads the LLM Stats Score 28.3 to 15.5.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT OSS 120B leads the overall LLM Stats Score 28.3 to 15.5, ranking #167 overall.

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

Choose GPT OSS 120B

  • overall performance matters — it scores 28.3 and ranks #167 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT OSS 120B
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
28.3
#167
15.5
#265
Reasoning
22.5
#202
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.04 / M
— / M
Output price
$0.17 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT OSS 120B
LFM3-VL-2B
Math
23.1#146
19.0#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 120B · 41 for LFM3-VL-2B

No common benchmarks found

GPT OSS 120B 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

Model Size

Parameter count comparison

114.9B diff

GPT OSS 120B has 114.9B more parameters than LFM3-VL-2B, making it 5983.3% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
Liquid AI
LFM3-VL-2B
1.9Bparameters
116.8B
GPT OSS 120B
1.9B
LFM3-VL-2B

Context Window

Maximum input and output token capacity

Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas GPT OSS 120B does not.

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

GPT OSS 120B

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, 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 OSS 120B

Apache 2.0

Open weights

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 15 months newer than GPT OSS 120B.

GPT OSS 120B

Aug 5, 2025

1.2 years ago

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT OSS 120B and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT OSS 120B
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT OSS 120B vs LFM3-VL-2B.

Which is better, GPT OSS 120B or LFM3-VL-2B?

GPT OSS 120B leads the LLM Stats Score 28.3 to 15.5. GPT OSS 120B 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 OSS 120B compare to LFM3-VL-2B in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. 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 OSS 120B and LFM3-VL-2B?

GPT OSS 120B supports 131K 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 OSS 120B and LFM3-VL-2B?

Key differences include LLM Stats Score (28.3 vs 15.5), multimodal support (no vs yes), licensing (Apache 2.0 vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and LFM3-VL-2B?

GPT OSS 120B is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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