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Gemini 4 Argon vs Qwen2.5 VL 32B Instruct

Gemini 4 Argon leads the LLM Stats Score 55.1 to 9.7.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 9.7, ranking #4 overall.

In the 1 individual benchmarks reported for both models, Gemini 4 Argon wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen2.5 VL 32B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.1
#4
9.7
#284
Reasoning
52.4
#7
8.4
#288
Coding
44.1
#4
12.3
#158
Agents
40.5
#4
-3.3
#194
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Qwen2.5 VL 32B Instruct
Vision
36.8#8
6.3#156
Multimodal
36.9#8
9.0#130
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 28 for Qwen2.5 VL 32B Instruct

1 shared

Gemini 4 Argon outperforms in 1 benchmarks (LVBench), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

Gemini 4 Argon significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Qwen2.5 VL 32B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Argon

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 4 Argon

Proprietary

Closed source

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Gemini 4 Argon is 19 months newer than Qwen2.5 VL 32B Instruct.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1.6yr newer
Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.6 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 Gemini 4 Argon and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Qwen2.5 VL 32B Instruct
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Qwen2.5 VL 32B Instruct.

Which is better, Gemini 4 Argon or Qwen2.5 VL 32B Instruct?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 9.7. Gemini 4 Argon is made by Google and Qwen2.5 VL 32B Instruct 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 Gemini 4 Argon compare to Qwen2.5 VL 32B Instruct in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the main differences between Gemini 4 Argon and Qwen2.5 VL 32B Instruct?

Key differences include LLM Stats Score (55.1 vs 9.7), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Qwen2.5 VL 32B Instruct?

Gemini 4 Argon is developed by Google and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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