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Inkling 2 Small vs LFM3-1.7B

Inkling 2 Small leads the LLM Stats Score 47.2 to 24.9.

Thinking Machines Lab · Liquid AI · Updated for 2026

Which is better?

Inkling 2 Small leads the overall LLM Stats Score 47.2 to 24.9, ranking #39 overall.

In the 4 individual benchmarks reported for both models, Inkling 2 Small wins 4; 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 Inkling 2 Small

  • overall performance matters — it scores 47.2 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose LFM3-1.7B

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

At a glance

The differences that matter most.

Core performance indexes
47.2
#39
24.9
#193
47.9
#24
20.7
#218
36.3
#35
7.3
#220
33.5
#40
17.9
#99
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.30 / M
— / M
Output price
$1.00 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Inkling 2 Small
LFM3-1.7B
28.3#27
14.3#120
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Inkling 2 Small · 20 for LFM3-1.7B

4 shared

Inkling 2 Small outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas, SWE-Bench Verified), while LFM3-1.7B is better at 0 benchmarks.

Inkling 2 Small significantly outperforms across most benchmarks.

Sun Nov 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

592.3B diff

Inkling 2 Small has 592.3B more parameters than LFM3-1.7B, making it 34235.3% larger.

Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
Liquid AI
LFM3-1.7B
1.7Bparameters
594.0B
Inkling 2 Small
1.7B
LFM3-1.7B

Context Window

Maximum input and output token capacity

Only Inkling 2 Small specifies input context (256,000 tokens).

Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Sun Nov 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling 2 Small supports multimodal inputs, whereas LFM3-1.7B does not.

Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

Inkling 2 Small

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 2 Small 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.

Inkling 2 Small

Proprietary

Closed source

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Inkling 2 Small was released on 2026-11-05, while LFM3-1.7B was released on 2026-10-27.

Inkling 2 Small is 0 month newer than LFM3-1.7B.

Inkling 2 Small

Nov 5, 2026

3 days ago

1w newer
LFM3-1.7B

Oct 27, 2026

1 weeks ago

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 Inkling 2 Small and LFM3-1.7B side-by-side, then vote on the output you prefer.

Inkling 2 Small
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about Inkling 2 Small vs LFM3-1.7B.

Which is better, Inkling 2 Small or LFM3-1.7B?

Inkling 2 Small leads the LLM Stats Score 47.2 to 24.9. Inkling 2 Small is made by Thinking Machines Lab 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 Inkling 2 Small compare to LFM3-1.7B in benchmarks?

Inkling 2 Small scores GPQA: 93.0%, BrowseComp: 90.2%, CharXiv-R: 85.6%, MCP Atlas: 85.0%, SWE-Bench Verified: 82.2%. 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 Inkling 2 Small and LFM3-1.7B?

Inkling 2 Small supports 256K 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 Inkling 2 Small and LFM3-1.7B?

Key differences include LLM Stats Score (47.2 vs 24.9), 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 Inkling 2 Small and LFM3-1.7B?

Inkling 2 Small is developed by Thinking Machines Lab and LFM3-1.7B is developed by Liquid AI.