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LFM3-VL-2B vs Llama 3.3 70B Instruct

LFM3-VL-2B and Llama 3.3 70B Instruct are closely matched at 15.5 and 13.3 on the LLM Stats Score.

Liquid AI · Meta · Updated for 2026

Which is better?

LFM3-VL-2B and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 15.5 and 13.3.

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

Choose LFM3-VL-2B

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

Choose Llama 3.3 70B Instruct

  • you want predictable pricing at $0.10/M input and $0.20/M output

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
15.5
#265
13.3
#280
Reasoning
16.2
#252
11.2
#291
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Llama 3.3 70B Instruct
Math
19.0#187
17.4#210
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 9 for Llama 3.3 70B Instruct

No common benchmarks found

LFM3-VL-2B and Llama 3.3 70B Instructdon'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

68.1B diff

Llama 3.3 70B Instruct has 68.1B more parameters than LFM3-VL-2B, making it 3545.8% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
1.9B
LFM3-VL-2B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (131,072 tokens). Only Llama 3.3 70B Instruct specifies output context (131,072 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Llama 3.3 70B Instruct 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

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Llama 3.3 70B Instruct was released on 2024-12-06.

LFM3-VL-2B is 23 months newer than Llama 3.3 70B Instruct.

LFM3-VL-2B

Oct 27, 2026

5 days ago

1.9yr newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.9 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 Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Llama 3.3 70B Instruct.

Which is better, LFM3-VL-2B or Llama 3.3 70B Instruct?

LFM3-VL-2B and Llama 3.3 70B Instruct are closely matched on the LLM Stats Score at 15.5 and 13.3. LFM3-VL-2B is made by Liquid AI and Llama 3.3 70B Instruct is made by Meta. 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 Llama 3.3 70B Instruct in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for LFM3-VL-2B and Llama 3.3 70B Instruct?

LFM3-VL-2B supports an unknown number of tokens and Llama 3.3 70B Instruct supports 131K 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 Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (15.5 vs 13.3), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Llama 3.3 70B Instruct?

LFM3-VL-2B is developed by Liquid AI and Llama 3.3 70B Instruct is developed by Meta.

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