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LFM3-VL-2B vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking leads the LLM Stats Score 23.2 to 15.5.

Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-Next-80B-A3B-Thinking leads the overall LLM Stats Score 23.2 to 15.5, ranking #208 overall.

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 Qwen3-Next-80B-A3B-Thinking

  • overall performance matters — it scores 23.2 and ranks #208 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
15.5
#265
23.2
#208
Reasoning
16.2
#252
23.9
#192
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$1.50 / M
Context window
—
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Qwen3-Next-80B-A3B-Thinking
Math
19.0#187
26.4#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 23 for Qwen3-Next-80B-A3B-Thinking

No common benchmarks found

LFM3-VL-2B and Qwen3-Next-80B-A3B-Thinkingdon'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

78.1B diff

Qwen3-Next-80B-A3B-Thinking has 78.1B more parameters than LFM3-VL-2B, making it 4066.7% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
1.9B
LFM3-VL-2B
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Thu Nov 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking 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

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

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

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

LFM3-VL-2B is 14 months newer than Qwen3-Next-80B-A3B-Thinking.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

1.1yr newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

1.2 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 Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Qwen3-Next-80B-A3B-Thinking.

Which is better, LFM3-VL-2B or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking leads the LLM Stats Score 23.2 to 15.5. LFM3-VL-2B is made by Liquid AI and Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team. 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 Qwen3-Next-80B-A3B-Thinking in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for LFM3-VL-2B and Qwen3-Next-80B-A3B-Thinking?

LFM3-VL-2B supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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 Qwen3-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (15.5 vs 23.2), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Qwen3-Next-80B-A3B-Thinking?

LFM3-VL-2B is developed by Liquid AI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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