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GPT-5.1 High vs LFM3-1.7B

GPT-5.1 High leads the LLM Stats Score 34.7 to 25.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5.1 High leads the overall LLM Stats Score 34.7 to 25.0, ranking #115 overall.

In the 1 individual benchmarks reported for both models, GPT-5.1 High 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-5.1 High

  • overall performance matters — it scores 34.7 and ranks #115 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 LFM3-1.7B

  • 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.

Core performance indexes
34.7
#115
25.0
#191
34.1
#114
20.8
#216
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$1.25 / M
— / M
Output price
$10.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.1 High
LFM3-1.7B
30.4#83
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

3 reported for GPT-5.1 High · 20 for LFM3-1.7B

1 shared

GPT-5.1 High outperforms in 1 benchmarks (GPQA), while LFM3-1.7B is better at 0 benchmarks.

GPT-5.1 High 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-5.1 High specifies input context (400,000 tokens). Only GPT-5.1 High specifies output context (128,000 tokens).

OpenAI
GPT-5.1 High
Input400,000 tokens
Output128,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.1 High supports multimodal inputs, whereas LFM3-1.7B does not.

GPT-5.1 High can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 High

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 High is licensed under a proprietary license, while LFM3-1.7B uses LFM Open License v1.0.

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

GPT-5.1 High

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 High was released on 2025-11-12, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 12 months newer than GPT-5.1 High.

GPT-5.1 High

Nov 12, 2025

11 months ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

11mo 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-5.1 High and LFM3-1.7B side-by-side, then vote on the output you prefer.

GPT-5.1 High
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about GPT-5.1 High vs LFM3-1.7B.

Which is better, GPT-5.1 High or LFM3-1.7B?

GPT-5.1 High leads the LLM Stats Score 34.7 to 25.0. GPT-5.1 High is made by OpenAI and LFM3-1.7B 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-5.1 High compare to LFM3-1.7B in benchmarks?

GPT-5.1 High scores AIME 2025: 99.6%, GPQA: 88.1%, LiveBench: 72.0%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for GPT-5.1 High and LFM3-1.7B?

GPT-5.1 High supports 400K tokens and LFM3-1.7B 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-5.1 High and LFM3-1.7B?

Key differences include LLM Stats Score (34.7 vs 25.0), 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-5.1 High and LFM3-1.7B?

GPT-5.1 High is developed by OpenAI and LFM3-1.7B is developed by Liquid AI.