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LFM2.5-VL-3B vs Mistral Small 3.1 24B Base

Comparing LFM2.5-VL-3B and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.

Liquid AI · Mistral AI · Updated for 2026

Which is better?

LFM2.5-VL-3B and Mistral Small 3.1 24B Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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 Mistral Small 3.1 24B Base

  • you want predictable pricing at $0.10/M input and $0.30/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Mistral Small 3.1 24B Base
Mistral AI
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
—
128,000
Released
Aug 2026
Mar 2025
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and Mistral Small 3.1 24B Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

20.9B diff

Mistral Small 3.1 24B Base has 20.9B more parameters than LFM2.5-VL-3B, making it 668.4% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
3.1B
LFM2.5-VL-3B
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Base
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 Mistral Small 3.1 24B Base 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

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Mistral Small 3.1 24B Base was released on 2025-03-17.

LFM2.5-VL-3B is 17 months newer than Mistral Small 3.1 24B Base.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.4yr newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.4 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 Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Mistral Small 3.1 24B Base.

Which is better, LFM2.5-VL-3B or Mistral Small 3.1 24B Base?

LFM2.5-VL-3B (Liquid AI) and Mistral Small 3.1 24B Base (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to Mistral Small 3.1 24B Base in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

What are the context window sizes for LFM2.5-VL-3B and Mistral Small 3.1 24B Base?

LFM2.5-VL-3B supports an unknown number of tokens and Mistral Small 3.1 24B Base 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 Mistral Small 3.1 24B Base?

Key differences include licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM2.5-VL-3B and Mistral Small 3.1 24B Base?

LFM2.5-VL-3B is developed by Liquid AI and Mistral Small 3.1 24B Base is developed by Mistral AI.

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