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Gemini 4 Argon vs Qwen3 Max Thinking

Gemini 4 Argon leads the LLM Stats Score 55.1 to 32.8.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 32.8, ranking #4 overall.

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 want the most recent training data — it shipped Sep 2026

Choose Qwen3 Max Thinking

  • you want predictable pricing at $1.20/M input and $6.00/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Qwen3 Max Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.1
#4
32.8
#117
Reasoning
52.4
#7
33.9
#104
Coding
44.1
#4
16.2
#140
Agents
40.5
#4
9.9
#133
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.20 / M
Output price
— / M
$6.00 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Qwen3 Max Thinking
Tool use
30.6#6
3.2#175
Long context
30.6#3
22.2#23
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 34 for Qwen3 Max Thinking

No common benchmarks found

Gemini 4 Argon and Qwen3 Max 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

Context Window

Maximum input and output token capacity

Only Qwen3 Max Thinking specifies input context (256,000 tokens). Only Qwen3 Max Thinking specifies output context (256,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input256,000 tokens
Output256,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Qwen3 Max Thinking does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

Qwen3 Max Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 4 Argon

Proprietary

Closed source

Qwen3 Max Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Qwen3 Max Thinking was released on 2026-02-13.

Gemini 4 Argon is 8 months newer than Qwen3 Max Thinking.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

7mo newer
Qwen3 Max Thinking

Feb 13, 2026

7 months 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 Max Thinking side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Qwen3 Max Thinking
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Qwen3 Max Thinking.

Which is better, Gemini 4 Argon or Qwen3 Max Thinking?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 32.8. Gemini 4 Argon is made by Google and Qwen3 Max 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 Max 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 Max Thinking scores C-Eval: 93.7%, IFEval: 93.4%, AIME 2026: 93.3%, MMLU-Redux: 92.8%, GPQA: 87.4%.

What are the context window sizes for Gemini 4 Argon and Qwen3 Max Thinking?

Gemini 4 Argon supports an unknown number of tokens and Qwen3 Max Thinking supports 256K 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 Max Thinking?

Key differences include LLM Stats Score (55.1 vs 32.8), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Qwen3 Max Thinking?

Gemini 4 Argon is developed by Google and Qwen3 Max Thinking is developed by Alibaba Cloud / Qwen Team.

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