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Gemini Diffusion vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 51.9 to 0.9.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 0.9, ranking #11 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Max 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 Diffusion

  • you are already invested in the Google ecosystem

Choose Qwen3.8 Max

  • overall performance matters — it scores 51.9 and ranks #11 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 Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini Diffusion
Google
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
0.9
#322
51.9
#11
Reasoning
0.9
#314
50.6
#11
Coding
2.8
#220
39.6
#14
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
—
256,000

Individual benchmarks

10 reported for Gemini Diffusion · 42 for Qwen3.8 Max

1 shared

Gemini Diffusion outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA).

Qwen3.8 Max significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (256,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Max supports multimodal inputs, whereas Gemini Diffusion does not.

Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.

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

Gemini Diffusion

Proprietary

Closed source

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 15 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.3 years ago

Qwen3.8 Max

Aug 2, 2026

1 months ago

1.2yr newer

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini Diffusion and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Qwen3.8 Max.

Which is better, Gemini Diffusion or Qwen3.8 Max?

Qwen3.8 Max leads the LLM Stats Score 51.9 to 0.9. Gemini Diffusion is made by Google and Qwen3.8 Max 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 Diffusion compare to Qwen3.8 Max in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

What are the context window sizes for Gemini Diffusion and Qwen3.8 Max?

Gemini Diffusion supports an unknown number of tokens and Qwen3.8 Max 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 Diffusion and Qwen3.8 Max?

Key differences include LLM Stats Score (0.9 vs 51.9), multimodal support (no vs yes), licensing (Proprietary vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Qwen3.8 Max?

Gemini Diffusion is developed by Google and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.

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