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LFM3-VL-2B vs Mercury 3

Mercury 3 leads the LLM Stats Score 35.9 to 15.5.

Liquid AI · Inception · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 35.9 to 15.5, ranking #105 overall.

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

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Mercury 3

  • overall performance matters — it scores 35.9 and ranks #105 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
35.9
#105
16.2
#252
34.6
#109
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.35 / M
Context window
—
1,000,000

Individual benchmarks

41 reported for LFM3-VL-2B · 12 for Mercury 3

No common benchmarks found

LFM3-VL-2B and Mercury 3don'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

Context Window

Maximum input and output token capacity

Only Mercury 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Mercury 3 does not.

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

LFM3-VL-2B

Text
Images
Audio
Video

Mercury 3

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Mercury 3 uses a proprietary license.

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

LFM3-VL-2B

LFM Open License v1.0

Open weights

Mercury 3

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Mercury 3 was released on 2026-10-19.

LFM3-VL-2B is 0 month newer than Mercury 3.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1w newer
Mercury 3

Oct 19, 2026

2 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 LFM3-VL-2B and Mercury 3 side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Mercury 3
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Mercury 3.

Which is better, LFM3-VL-2B or Mercury 3?

Mercury 3 leads the LLM Stats Score 35.9 to 15.5. LFM3-VL-2B is made by Liquid AI and Mercury 3 is made by Inception. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to Mercury 3 in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%.

What are the context window sizes for LFM3-VL-2B and Mercury 3?

LFM3-VL-2B supports an unknown number of tokens and Mercury 3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM3-VL-2B and Mercury 3?

Key differences include LLM Stats Score (15.5 vs 35.9), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Mercury 3?

LFM3-VL-2B is developed by Liquid AI and Mercury 3 is developed by Inception.