Model Comparison
Qwen3.5-397B-A17B vs Gemma 4 E2B
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 6 benchmarks (AIME 2026, GPQA, LiveCodeBench v6, MMLU-Pro, MMMLU, t2-bench), while Gemma 4 E2B is better at 0 benchmarks.
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3.5-397B-A17B has 391.9B more parameters than Gemma 4 E2B, making it 7684.3% larger.
Input Capabilities
Supported data types and modalities
Both Qwen3.5-397B-A17B and Gemma 4 E2B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.5-397B-A17B
Gemma 4 E2B
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 Gemma 4 E2B was released on 2026-04-02.
Gemma 4 E2B is 2 months newer than Qwen3.5-397B-A17B.
Feb 16, 2026
1 months ago
Apr 2, 2026
0 days ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Gemma 4 E2B
View detailsDetailed Comparison
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FAQ
Common questions about Qwen3.5-397B-A17B vs Gemma 4 E2B