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Gemini 4 Argon vs Qwen2.5-Coder 32B Instruct

Gemini 4 Argon leads the LLM Stats Score 55.1 to 2.0.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 2.0, 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 Qwen2.5-Coder 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-Coder 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.1
#4
2.0
#333
Reasoning
52.4
#7
2.0
#323
Coding
44.1
#4
9.9
#180
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.09 / M
Output price
— / M
$0.09 / M
Context window
—
128,000

Individual benchmarks

19 reported for Gemini 4 Argon · 15 for Qwen2.5-Coder 32B Instruct

No common benchmarks found

Gemini 4 Argon and Qwen2.5-Coder 32B Instructdon'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 Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct 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

Qwen2.5-Coder 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Qwen2.5-Coder 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-Coder 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-Coder 32B Instruct was released on 2024-09-19.

Gemini 4 Argon is 25 months newer than Qwen2.5-Coder 32B Instruct.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2.0yr newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

2.1 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?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 4 Argon leads the LLM Stats Score 55.1 to 2.0. Gemini 4 Argon is made by Google and Qwen2.5-Coder 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-Coder 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-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Gemini 4 Argon and Qwen2.5-Coder 32B Instruct?

Gemini 4 Argon supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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 Qwen2.5-Coder 32B Instruct?

Key differences include LLM Stats Score (55.1 vs 2.0), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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

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