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Codestral-22B vs LFM3-VL-2B

LFM3-VL-2B leads the LLM Stats Score 15.5 to -0.4.

Mistral AI · Liquid AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -0.4, ranking #265 overall.

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

Choose Codestral-22B

  • you are already invested in the Mistral AI ecosystem

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.

Codestral-22B
Mistral AI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
-0.4
#367
15.5
#265
Reasoning
-0.6
#359
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 41 for LFM3-VL-2B

No common benchmarks found

Codestral-22B 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

20.3B diff

Codestral-22B has 20.3B more parameters than LFM3-VL-2B, making it 1056.3% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Liquid AI
LFM3-VL-2B
1.9Bparameters
22.2B
Codestral-22B
1.9B
LFM3-VL-2B

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Codestral-22B does not.

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

Codestral-22B

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, 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.

Codestral-22B

MNPL-0.1

Open weights

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 29 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.4 years ago

LFM3-VL-2B

Oct 27, 2026

5 days ago

2.4yr 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 Codestral-22B and LFM3-VL-2B side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about Codestral-22B vs LFM3-VL-2B.

Which is better, Codestral-22B or LFM3-VL-2B?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -0.4. Codestral-22B is made by Mistral AI 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 Codestral-22B compare to LFM3-VL-2B in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the main differences between Codestral-22B and LFM3-VL-2B?

Key differences include LLM Stats Score (-0.4 vs 15.5), multimodal support (no vs yes), licensing (MNPL-0.1 vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and LFM3-VL-2B?

Codestral-22B is developed by Mistral AI and LFM3-VL-2B is developed by Liquid AI.

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