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Gemini 4 Argon vs Qwen3.5-0.8B

Gemini 4 Argon leads the LLM Stats Score 55.1 to -6.7.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to -6.7, 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 agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-0.8B

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Qwen3.5-0.8B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.1
#4
-6.7
#388
Reasoning
53.2
#6
-4.0
#362
Agents
41.2
#4
-9.7
#210
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Qwen3.5-0.8B
Tool use
32.3#4
-9.8#217
Long context
30.6#3
3.0#114
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 20 for Qwen3.5-0.8B

No common benchmarks found

Gemini 4 Argon and Qwen3.5-0.8Bdon'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 Gemini 4 Argon specifies input context (1,048,576 tokens). Only Gemini 4 Argon specifies output context (1,048,576 tokens).

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Qwen3.5-0.8B support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

Qwen3.5-0.8B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Qwen3.5-0.8B 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

Qwen3.5-0.8B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Qwen3.5-0.8B was released on 2026-03-02.

Gemini 4 Argon is 7 months newer than Qwen3.5-0.8B.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

7mo newer
Qwen3.5-0.8B

Mar 2, 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 Qwen3.5-0.8B side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Qwen3.5-0.8B
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Qwen3.5-0.8B.

Which is better, Gemini 4 Argon or Qwen3.5-0.8B?

Gemini 4 Argon leads the LLM Stats Score 55.1 to -6.7. Gemini 4 Argon is made by Google and Qwen3.5-0.8B 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 Qwen3.5-0.8B 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%. Qwen3.5-0.8B scores MMLU-Redux: 59.5%, Global PIQA: 59.4%, C-Eval: 50.5%, MMMLU: 44.3%, IFEval: 44.0%.

What are the context window sizes for Gemini 4 Argon and Qwen3.5-0.8B?

Gemini 4 Argon supports 1.0M tokens and Qwen3.5-0.8B supports an unknown number of 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 Qwen3.5-0.8B?

Key differences include LLM Stats Score (55.1 vs -6.7), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Qwen3.5-0.8B?

Gemini 4 Argon is developed by Google and Qwen3.5-0.8B is developed by Alibaba Cloud / Qwen Team.

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