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Gemini 4 Argon vs Qwen3 VL 30B A3B Thinking

Gemini 4 Argon leads the LLM Stats Score 55.1 to 18.2.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 18.2, 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 agents — 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 Qwen3 VL 30B A3B Thinking

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Qwen3 VL 30B A3B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.1
#4
18.2
#229
Reasoning
52.4
#7
19.5
#215
Agents
40.5
#4
7.0
#151
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.99 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Qwen3 VL 30B A3B Thinking
Vision
36.8#8
12.1#114
Multimodal
36.9#8
14.9#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 50 for Qwen3 VL 30B A3B Thinking

1 shared

Gemini 4 Argon outperforms in 1 benchmarks (LVBench), while Qwen3 VL 30B A3B Thinking 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

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Qwen3 VL 30B A3B Thinking support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Qwen3 VL 30B A3B Thinking 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

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Gemini 4 Argon is 12 months newer than Qwen3 VL 30B A3B Thinking.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1.0yr newer
Qwen3 VL 30B A3B Thinking

Sep 22, 2025

1.0 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 Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Qwen3 VL 30B A3B Thinking.

Which is better, Gemini 4 Argon or Qwen3 VL 30B A3B Thinking?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 18.2. Gemini 4 Argon is made by Google and Qwen3 VL 30B 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 Gemini 4 Argon compare to Qwen3 VL 30B A3B Thinking 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%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for Gemini 4 Argon and Qwen3 VL 30B A3B Thinking?

Gemini 4 Argon supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking 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 Gemini 4 Argon and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (55.1 vs 18.2), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Qwen3 VL 30B A3B Thinking?

Gemini 4 Argon is developed by Google and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.

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