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LFM2.5-VL-3B vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

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

Which is better?

LFM2.5-VL-3B outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (IFEval, Multi-IF). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

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 Qwen3-235B-A22B-Instruct-2507

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$0.80 / M
Context window
262,144
Released
Aug 2026
Jul 2025
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

LFM2.5-VL-3B outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (IFEval, Multi-IF).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

231.9B diff

Qwen3-235B-A22B-Instruct-2507 has 231.9B more parameters than LFM2.5-VL-3B, making it 7423.7% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
3.1B
LFM2.5-VL-3B
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Qwen3-235B-A22B-Instruct-2507 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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

LFM2.5-VL-3B is 13 months newer than Qwen3-235B-A22B-Instruct-2507.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.1yr newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 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 Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Qwen3-235B-A22B-Instruct-2507.

Which is better, LFM2.5-VL-3B or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. LFM2.5-VL-3B is made by Liquid AI and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LFM2.5-VL-3B compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for LFM2.5-VL-3B and Qwen3-235B-A22B-Instruct-2507?

LFM2.5-VL-3B supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507?

Key differences include 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 LFM2.5-VL-3B and Qwen3-235B-A22B-Instruct-2507?

LFM2.5-VL-3B is developed by Liquid AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.