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LFM3-VL-2B vs Mistral Large 2

LFM3-VL-2B and Mistral Large 2 are closely matched at 15.5 and 6.9 on the LLM Stats Score.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM3-VL-2B and Mistral Large 2 are closely matched on the overall LLM Stats Score at 15.5 and 6.9.

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

Choose LFM3-VL-2B

  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Large 2

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

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Mistral Large 2
Mistral AI
Core performance indexes
LLM Stats Score
15.5
#265
6.9
#328
Reasoning
16.2
#252
6.8
#321
Cost, coverage & limits
Benchmark wins
—
—
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

1 shared
Index
LFM3-VL-2B
Mistral Large 2
Math
19.0#187
11.2#264
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 5 for Mistral Large 2

No common benchmarks found

LFM3-VL-2B and Mistral Large 2don'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

121.1B diff

Mistral Large 2 has 121.1B more parameters than LFM3-VL-2B, making it 6306.3% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
1.9B
LFM3-VL-2B
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Mistral Large 2 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 Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Mistral Large 2 uses Mistral Research 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

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Mistral Large 2 was released on 2024-07-24.

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

LFM3-VL-2B

Oct 27, 2026

4 days ago

2.3yr newer
Mistral Large 2

Jul 24, 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 Large 2 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

LFM3-VL-2B and Mistral Large 2 are closely matched on the LLM Stats Score at 15.5 and 6.9. LFM3-VL-2B is made by Liquid AI and Mistral Large 2 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 Large 2 in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

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

LFM3-VL-2B supports an unknown number of tokens and Mistral Large 2 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 Mistral Large 2?

Key differences include LLM Stats Score (15.5 vs 6.9), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

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

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

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