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Inkling 2 Small vs LFM2.5-VL-3B

Inkling 2 Small leads the LLM Stats Score 47.1 to 3.0.

Thinking Machines Lab · Liquid AI · Updated for 2026

Which is better?

Inkling 2 Small leads the overall LLM Stats Score 47.1 to 3.0, ranking #41 overall.

In the 1 individual benchmarks reported for both models, Inkling 2 Small 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 Inkling 2 Small

  • overall performance matters — it scores 47.1 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose LFM2.5-VL-3B

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

At a glance

The differences that matter most.

Inkling 2 Small
Thinking Machines Lab
LFM2.5-VL-3B
Liquid AI
Core performance indexes
LLM Stats Score
47.1
#41
3.0
#353
Reasoning
47.8
#26
-2.4
#373
Agents
33.3
#39
-3.4
#222
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

2 shared
Index
Inkling 2 Small
LFM2.5-VL-3B
Vision
29.2#47
1.0#209
Multimodal
28.9#44
3.0#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Inkling 2 Small · 23 for LFM2.5-VL-3B

1 shared

Inkling 2 Small outperforms in 1 benchmarks (MMMU-Pro), while LFM2.5-VL-3B is better at 0 benchmarks.

Inkling 2 Small significantly outperforms across most benchmarks.

Wed Nov 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

590.9B diff

Inkling 2 Small has 590.9B more parameters than LFM2.5-VL-3B, making it 18917.2% larger.

Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
Liquid AI
LFM2.5-VL-3B
3.1Bparameters
594.0B
Inkling 2 Small
3.1B
LFM2.5-VL-3B

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
LFM2.5-VL-3B
Input- tokens
Output- tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling 2 Small and LFM2.5-VL-3B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Inkling 2 Small

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 2 Small is licensed under a proprietary license, while LFM2.5-VL-3B 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

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Inkling 2 Small was released on 2026-11-05, while LFM2.5-VL-3B was released on 2026-08-12.

Inkling 2 Small is 3 months newer than LFM2.5-VL-3B.

Inkling 2 Small

Nov 5, 2026

4 days ago

2mo newer
LFM2.5-VL-3B

Aug 12, 2026

2 months 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 LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

Inkling 2 Small
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about Inkling 2 Small vs LFM2.5-VL-3B.

Which is better, Inkling 2 Small or LFM2.5-VL-3B?

Inkling 2 Small leads the LLM Stats Score 47.1 to 3.0. Inkling 2 Small is made by Thinking Machines Lab and LFM2.5-VL-3B 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 LFM2.5-VL-3B 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%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the context window sizes for Inkling 2 Small and LFM2.5-VL-3B?

Inkling 2 Small supports 256K tokens and LFM2.5-VL-3B 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 LFM2.5-VL-3B?

Key differences include LLM Stats Score (47.1 vs 3.0), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling 2 Small and LFM2.5-VL-3B?

Inkling 2 Small is developed by Thinking Machines Lab and LFM2.5-VL-3B is developed by Liquid AI.

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