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LFM3-VL-2B vs Pixtral Large

LFM3-VL-2B and Pixtral Large are closely matched at 15.5 and 11.2 on the LLM Stats Score.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-VL-2B and Pixtral Large are closely matched on the overall LLM Stats Score at 15.5 and 11.2.

In the 2 individual benchmarks reported for both models, LFM3-VL-2B wins 2; 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 LFM3-VL-2B

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Pixtral Large

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
11.2
#296
16.2
#252
12.5
#279
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM3-VL-2B
Pixtral Large
11.4#133
10.6#145
12.6#124
12.8#123
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 7 for Pixtral Large

2 shared

LFM3-VL-2B outperforms in 2 benchmarks (ChartQA, DocVQA), while Pixtral Large is better at 0 benchmarks.

LFM3-VL-2B significantly outperforms across most benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

122.1B diff

Pixtral Large has 122.1B more parameters than LFM3-VL-2B, making it 6358.3% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
1.9B
LFM3-VL-2B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both LFM3-VL-2B and Pixtral Large support multimodal inputs.

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

LFM3-VL-2B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Pixtral Large was released on 2024-11-18.

LFM3-VL-2B is 24 months newer than Pixtral Large.

LFM3-VL-2B

Oct 27, 2026

6 days ago

1.9yr newer
Pixtral Large

Nov 18, 2024

2.0 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 Pixtral Large side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Pixtral Large.

Which is better, LFM3-VL-2B or Pixtral Large?

LFM3-VL-2B and Pixtral Large are closely matched on the LLM Stats Score at 15.5 and 11.2. LFM3-VL-2B is made by Liquid AI and Pixtral Large 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 Pixtral Large in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for LFM3-VL-2B and Pixtral Large?

LFM3-VL-2B supports an unknown number of tokens and Pixtral Large supports 128K 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 Pixtral Large?

Key differences include LLM Stats Score (15.5 vs 11.2), licensing (LFM Open License v1.0 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Pixtral Large?

LFM3-VL-2B is developed by Liquid AI and Pixtral Large is developed by Mistral AI.