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LFM3-VL-2B vs Mistral NeMo Instruct

LFM3-VL-2B leads the LLM Stats Score 15.5 to -5.2.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -5.2, ranking #265 overall.

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

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

Choose Mistral NeMo Instruct

  • you want predictable pricing at $0.02/M input and $0.03/M output

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Mistral NeMo Instruct
Mistral AI
Core performance indexes
LLM Stats Score
15.5
#265
-5.2
#392
Reasoning
16.2
#252
-5.5
#386
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.02 / M
Output price
— / M
$0.03 / M
Context window
—
131,072

Individual benchmarks

41 reported for LFM3-VL-2B · 8 for Mistral NeMo Instruct

No common benchmarks found

LFM3-VL-2B and Mistral NeMo Instructdon'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

10.1B diff

Mistral NeMo Instruct has 10.1B more parameters than LFM3-VL-2B, making it 525.0% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
1.9B
LFM3-VL-2B
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (131,072 tokens). Only Mistral NeMo Instruct specifies output context (131,072 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Mistral NeMo Instruct 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

Mistral NeMo Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Mistral NeMo Instruct uses Apache 2.0.

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

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Mistral NeMo Instruct was released on 2024-07-18.

LFM3-VL-2B is 28 months newer than Mistral NeMo Instruct.

LFM3-VL-2B

Oct 27, 2026

4 days ago

2.3yr newer
Mistral NeMo Instruct

Jul 18, 2024

2.3 years 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 Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Mistral NeMo Instruct.

Which is better, LFM3-VL-2B or Mistral NeMo Instruct?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -5.2. LFM3-VL-2B is made by Liquid AI and Mistral NeMo Instruct is made by Mistral AI. 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 Mistral NeMo Instruct in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

What are the context window sizes for LFM3-VL-2B and Mistral NeMo Instruct?

LFM3-VL-2B supports an unknown number of tokens and Mistral NeMo Instruct supports 131K 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 Mistral NeMo Instruct?

Key differences include LLM Stats Score (15.5 vs -5.2), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Mistral NeMo Instruct?

LFM3-VL-2B is developed by Liquid AI and Mistral NeMo Instruct is developed by Mistral AI.

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