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Command R+ vs LFM3-VL-2B

LFM3-VL-2B leads the LLM Stats Score 15.5 to -1.0.

Cohere · Liquid AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -1.0, ranking #265 overall.

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

Choose Command R+

  • you want predictable pricing at $0.25/M input and $1.00/M output

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Command R+
Cohere
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
-1.0
#369
15.5
#265
Reasoning
-1.2
#365
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Command R+
LFM3-VL-2B
Math
-2.3#332
19.0#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 41 for LFM3-VL-2B

No common benchmarks found

Command R+ and LFM3-VL-2Bdon'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

Model Size

Parameter count comparison

102.1B diff

Command R+ has 102.1B more parameters than LFM3-VL-2B, making it 5316.7% larger.

Cohere
Command R+
104.0Bparameters
Liquid AI
LFM3-VL-2B
1.9Bparameters
104.0B
Command R+
1.9B
LFM3-VL-2B

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Command R+ does not.

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

Command R+

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while LFM3-VL-2B uses LFM Open License v1.0.

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

Command R+

CC BY-NC

Open weights

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 26 months newer than Command R+.

Command R+

Aug 30, 2024

2.2 years ago

LFM3-VL-2B

Oct 27, 2026

5 days ago

2.2yr 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 Command R+ and LFM3-VL-2B side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about Command R+ vs LFM3-VL-2B.

Which is better, Command R+ or LFM3-VL-2B?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -1.0. Command R+ is made by Cohere and LFM3-VL-2B 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 Command R+ compare to LFM3-VL-2B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for Command R+ and LFM3-VL-2B?

Command R+ supports 128K tokens and LFM3-VL-2B 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 Command R+ and LFM3-VL-2B?

Key differences include LLM Stats Score (-1.0 vs 15.5), multimodal support (no vs yes), licensing (CC BY-NC vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and LFM3-VL-2B?

Command R+ is developed by Cohere and LFM3-VL-2B is developed by Liquid AI.

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