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LFM2.5-VL-3B vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM2.5-VL-3B outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (ChartQA, DocVQA). Pixtral Large significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026

Choose Pixtral Large

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
128,000
Released
Aug 2026
Nov 2024
License
LFM Open License v1.0
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

LFM2.5-VL-3B outperforms in 0 benchmarks, while Pixtral Large is better at 2 benchmarks (ChartQA, DocVQA).

Pixtral Large significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

120.9B diff

Pixtral Large has 120.9B more parameters than LFM2.5-VL-3B, making it 3869.9% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
3.1B
LFM2.5-VL-3B
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
LFM2.5-VL-3B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both LFM2.5-VL-3B and Pixtral Large support multimodal inputs.

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

LFM2.5-VL-3B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B 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.

LFM2.5-VL-3B

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

LFM2.5-VL-3B was released on 2026-08-12, while Pixtral Large was released on 2024-11-18.

LFM2.5-VL-3B is 21 months newer than Pixtral Large.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.7yr newer
Pixtral Large

Nov 18, 2024

1.8 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and Pixtral Large side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Pixtral Large.

Which is better, LFM2.5-VL-3B or Pixtral Large?

Pixtral Large significantly outperforms across most benchmarks. LFM2.5-VL-3B is made by Liquid AI and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LFM2.5-VL-3B compare to Pixtral Large in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. 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 LFM2.5-VL-3B and Pixtral Large?

LFM2.5-VL-3B 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 LFM2.5-VL-3B and Pixtral Large?

Key differences include 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 LFM2.5-VL-3B and Pixtral Large?

LFM2.5-VL-3B is developed by Liquid AI and Pixtral Large is developed by Mistral AI.