Model Comparison
Qwen3.5-397B-A17B vs DiffusionGemma 26B-A4BWhich is better in 2026?
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Verdict: Qwen3.5-397B-A17B vs DiffusionGemma 26B-A4B — which is better?
Qwen3.5-397B-A17B (by Alibaba Cloud / Qwen Team) and DiffusionGemma 26B-A4B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.5-397B-A17B outperforms in 7 benchmarks (AIME 2026, GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMMLU, t2-bench), while DiffusionGemma 26B-A4B is better at 0 benchmarks. Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Choose Qwen3.5-397B-A17B if…
- you want the strongest raw capability — it leads on 7 of 7 shared benchmarks
Choose DiffusionGemma 26B-A4B if…
- you want the most recent training data — it shipped Jun 2026
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 7 benchmarks (AIME 2026, GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMMLU, t2-bench), while DiffusionGemma 26B-A4B is better at 0 benchmarks.
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3.5-397B-A17B has 371.8B more parameters than DiffusionGemma 26B-A4B, making it 1475.4% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).
Input Capabilities
Supported data types and modalities
Both Qwen3.5-397B-A17B and DiffusionGemma 26B-A4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.5-397B-A17B
DiffusionGemma 26B-A4B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3.5-397B-A17B was released on 2026-02-16, while DiffusionGemma 26B-A4B was released on 2026-06-10.
DiffusionGemma 26B-A4B is 4 months newer than Qwen3.5-397B-A17B.
Feb 16, 2026
3 months ago
Jun 10, 2026
0 days ago
3mo newerKnowledge Cutoff
When training data ends
DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Qwen3.5-397B-A17B's cutoff date is not specified.
We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.
—
Jan 2025
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Qwen3.5-397B-A17B vs DiffusionGemma 26B-A4B.