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GPT-5.1 Codex vs LFM3-1.7B

GPT-5.1 Codex leads the LLM Stats Score 29.2 to 25.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-5.1 Codex leads the overall LLM Stats Score 29.2 to 25.0, ranking #160 overall.

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

  • overall performance matters — it scores 29.2 and ranks #160 on LLM Stats
  • your work emphasizes reasoning and coding — 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.

GPT-5.1 Codex
OpenAI
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
29.2
#160
25.0
#192
Reasoning
29.4
#154
20.8
#216
Coding
21.1
#116
7.4
#218
Agents
10.2
#150
18.1
#97
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
—

Individual benchmarks

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

1 shared

GPT-5.1 Codex outperforms in 1 benchmarks (SWE-Bench Verified), while LFM3-1.7B is better at 0 benchmarks.

GPT-5.1 Codex significantly outperforms across most benchmarks.

Mon Nov 02 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 Codex specifies input context (400,000 tokens). Only GPT-5.1 Codex specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-5.1 Codex

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex 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 Codex

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex was released on 2025-11-19, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 11 months newer than GPT-5.1 Codex.

GPT-5.1 Codex

Nov 19, 2025

11 months ago

LFM3-1.7B

Oct 27, 2026

4 days ago

11mo newer

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while LFM3-1.7B's cutoff date is not specified.

We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

GPT-5.1 Codex

Sep 2024

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.1 Codex and LFM3-1.7B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-5.1 Codex leads the LLM Stats Score 29.2 to 25.0. GPT-5.1 Codex 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 Codex compare to LFM3-1.7B in benchmarks?

GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%. 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 Codex and LFM3-1.7B?

GPT-5.1 Codex 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 Codex and LFM3-1.7B?

Key differences include LLM Stats Score (29.2 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 Codex and LFM3-1.7B?

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

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